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description Publicationkeyboard_double_arrow_right Article , Other literature type 2023 United KingdomPublisher:MDPI AG Funded by:UKRI | The London Medical Imagin...UKRI| The London Medical Imaging & Artificial Intelligence Centre for Value Based HealthcareAuthors: Murtaza Haider; Randall Shannon; George P. Moschis; Erkko Autio;doi: 10.3390/su15065358
handle: 10044/1/111068
EntREsilience, a five-country longitudinal qualitative study, was launched in 2020 in China, Malaysia, the Philippines, Thailand and the UK to understand how entrepreneurs manifested resilience in response to the COVID-19 pandemic crisis events from March 2020 to February 2022. EntREsilience proposed a resilience-manifestation process model describing how entrepreneurs responded to the COVID-19 disruption, aided by external and internal enablers, adjusting their businesses to stabilise and even hunting for opportunities to grow their businesses. The present research adds to the findings of EntREsilience by analysing the strategies applied by entrepreneurs in their response to the crisis. This exploratory study focused on the entrepreneurs’ community interactions and studied the effects of these interactions on the response measures adopted by the entrepreneurs. The results describe how the awareness of their stakeholder challenges shaped the entrepreneurial response. Realising the importance of stakeholder well-being to the sustainability of their enterprise motivated the entrepreneurs to develop sustainability competencies towards their stakeholder challenges, innovating solutions for their mutual well-being. By extending the resilience-manifestation process model, this paper proposes a transformation model depicting the process of entrepreneurs transforming into sustainable leaders triggered by stakeholder challenge awareness and moderated by contextual factors.
Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/6/5358/pdfData sources: Multidisciplinary Digital Publishing InstituteImperial College London: SpiralArticle . 2023License: CC BYFull-Text: http://hdl.handle.net/10044/1/111068Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15065358&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/6/5358/pdfData sources: Multidisciplinary Digital Publishing InstituteImperial College London: SpiralArticle . 2023License: CC BYFull-Text: http://hdl.handle.net/10044/1/111068Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15065358&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 United KingdomPublisher:MDPI AG Funded by:UKRI | The London Medical Imagin...UKRI| The London Medical Imaging & Artificial Intelligence Centre for Value Based HealthcareAuthors: Murtaza Haider; Randall Shannon; George P. Moschis; Erkko Autio;doi: 10.3390/su15065358
handle: 10044/1/111068
EntREsilience, a five-country longitudinal qualitative study, was launched in 2020 in China, Malaysia, the Philippines, Thailand and the UK to understand how entrepreneurs manifested resilience in response to the COVID-19 pandemic crisis events from March 2020 to February 2022. EntREsilience proposed a resilience-manifestation process model describing how entrepreneurs responded to the COVID-19 disruption, aided by external and internal enablers, adjusting their businesses to stabilise and even hunting for opportunities to grow their businesses. The present research adds to the findings of EntREsilience by analysing the strategies applied by entrepreneurs in their response to the crisis. This exploratory study focused on the entrepreneurs’ community interactions and studied the effects of these interactions on the response measures adopted by the entrepreneurs. The results describe how the awareness of their stakeholder challenges shaped the entrepreneurial response. Realising the importance of stakeholder well-being to the sustainability of their enterprise motivated the entrepreneurs to develop sustainability competencies towards their stakeholder challenges, innovating solutions for their mutual well-being. By extending the resilience-manifestation process model, this paper proposes a transformation model depicting the process of entrepreneurs transforming into sustainable leaders triggered by stakeholder challenge awareness and moderated by contextual factors.
Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/6/5358/pdfData sources: Multidisciplinary Digital Publishing InstituteImperial College London: SpiralArticle . 2023License: CC BYFull-Text: http://hdl.handle.net/10044/1/111068Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15065358&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/6/5358/pdfData sources: Multidisciplinary Digital Publishing InstituteImperial College London: SpiralArticle . 2023License: CC BYFull-Text: http://hdl.handle.net/10044/1/111068Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15065358&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Research , Report , Preprint , Journal 2020Embargo end date: 10 May 2020 United Kingdom, Spain, Italy, Croatia, United States, Italy, France, United Kingdom, Italy, Croatia, Italy, Croatia, Belgium, France, Turkey, Italy, Croatia, Germany, Italy, France, Italy, Germany, Belgium, Italy, Germany, Germany, Italy, Italy, United Kingdom, Belarus, Belarus, Belgium, Spain, Italy, France, United States, Switzerland, Italy, ItalyPublisher:Elsevier BV Funded by:DFG, EC | LHCTOPVLQ, EC | AMVA4NewPhysics +2 projectsDFG ,EC| LHCTOPVLQ ,EC| AMVA4NewPhysics ,EC| INSIGHTS ,GSRIAntonin Kveton; Marco Toliman Lucchini; Andromachi Tsirou; Luca Cadamuro; Jaana Kristiina Heikkilä; Dave M Newbold; David Saltzberg; Cécile Caillol; N. De Filippis; Petra Merkel; Jan Tomsa; M. Della Negra; David Jonathan Hofman; Stephen Sanders; Pushpalatha C Bhat; Daniel Gonzalez; Christopher West; Sandeep Bhowmik; Victor Golovtcov; G. B. Mohanty; E. Gurpinar Guler; Vyacheslav Klyukhin; Markus Seidel; Damir Devetak; Stephan Lammel; J. S. Lange; Paolo Ronchese; Paolo Ronchese; W. T. Hung; Stepan Obraztsov; Tommaso Dorigo; Dario Bisello; Dario Bisello; Raffaella Radogna; Milan Stojanovic; Quentin Python; Emanuela Barberis; J. R. González Fernández; Pedro Silva; Pedro G Mercadante; Grace Cummings; Marc Dejardin; Marta Verweij; P. Busson; Pascal Paganini; Willem Verbeke; Fabio Monti; Fabio Monti; Daniel Abercrombie; George Stephans; F. L. Fabbri; C. Baldenegro Barrera; P. E. Karchin; Matteo Cremonesi; James Wetzel; Jordan Martins; Marguerite Tonjes; D. Di Croce; L. J. Gutay; Jehad Mousa; Colin Bernet; W. Van Doninck; Kaya Tatar; Michael Dittmar; J. M. Grados Luyando; Hualin Mei; Marc Dobson; Maral Alyari; Paul Baillon; Nicholas Menendez; Yiwen Wen; Radek Zlebcik; A. Baden; Pietro Vischia; Mingshui Chen; Tilman Rohe; Haiyan Wang; Santiago Folgueras; P. Martinez Ruiz del Arbol; E. M. Da Costa; Altan Cakir; V. Monaco; K. H. M. Kwok; Christopher Hill; Gigi Rolandi; Basil Schneider; Alexander Ershov; Daniel Rosenzweig; Kyungwook Nam; Bruno Galinhas; James D. Olsen; Jamal Rorie; Prashant Shukla; Alicia Calderon; Candan Dozen; Marc Osherson; Eija Tuominen; Himal Acharya; Klaas Padeken; Davide Piccolo; Hugo Delannoy; Igor Lokhtin; Nadir Daci; Christophe Royon; Mauricio Thiel; W. De Boer; Cédric Prieels; A. Da Rold; C. A. Salazar González; Johannes Brandstetter; R. Loveless; Aleksandra Lelek; Frank Würthwein; Cristina Tuve; Inkyu Park; Didar Dobur; Elena Voevodina; Ivan Marchesini; Mariana Shopova; Y. Musienko; Bibhuprasad Mahakud; Jorma Tuominiemi; J. Duarte Campderros; Sumit Keshri; Ekaterina Kuznetsova; Pierluigi Zotto; Pierluigi Zotto; Salim Cerci; Fabrizio Palla; Zhen Hu; Daniel Winterbottom; Dinko Ferencek; Charles Maguire; Zoltan Gecse; Y. C. Yang; Graham Wilson; Andreas Albert; Ivan Mikulec; A. A. Bin Anuar; J. C. Freeman; Francesco Fiori; Frans Meijers; Patricia McBride; Raman Khurana; Joosep Pata; M. Bluj; D. Kim; Andreas Werner Jung; Gabriel Madigan; Attilio Santocchia; Yu. Andreev; Kristian Allan Hahn; M. Flechl; Rui Xiao; Igor Smirnov; Georg Steinbrück; Warren Clarida; Nathaniel Odell; G. Bagliesi; Silvano Tosi; Nicholas Smith; Tobias Pook; Thorsten Chwalek; Alexis Kalogeropoulos; Sourabh Dube; Ennio Monteil; Matthias Wolf; Caroline Collard; Dooyeon Gyun; I. Gonzalez Caballero; Aleko Khukhunaishvili; Yen-Jie Lee; Andrea Malara; Jane Nachtman; Magda Diamantopoulou; Janos Erö; Konstanty Sumorok; J. Suarez Gonzalez; Alessandra Fanfani; M. R. Adams; Z. Liu; Süleyman Durgut; Marek Walczak; Paolo Dini; Rainer Wallny; Michael Mulhearn; Charles C. Richardson; Igor Golutvin; Mircho Rodozov; Oleksii Toldaiev; Andreas Mussgiller; Marc Dünser; Maximilian Heindl; W. Ji; Sergei Gleyzer; Mayda Velasco; Gabriella Pasztor; Renato Potenza; A. Vorobyev; Stephen Robert Wagner;doi: 10.1016/j.physletb.2020.135409 , 10.3929/ethz-b-000409328 , 10.18154/rwth-2021-02348 , 10.5445/ir/1000118244 , 10.3204/pubdb-2020-01701 , 10.18154/rwth-2021-02305
handle: 11588/837510 , 11368/2961997 , 10281/275031 , 10486/704072 , 10679/9293 , 10067/1761620151162165141 , 10651/56803 , 11573/1718429 , 11568/1106026 , 20.500.14017/fe08831c-0b32-4e29-ab88-747a08733b3e , 11384/83156 , 11585/803078 , 20.500.11769/413392 , 2158/1210977 , 2318/1766345 , 10044/1/87584 , 11571/1486563
doi: 10.1016/j.physletb.2020.135409 , 10.3929/ethz-b-000409328 , 10.18154/rwth-2021-02348 , 10.5445/ir/1000118244 , 10.3204/pubdb-2020-01701 , 10.18154/rwth-2021-02305
handle: 11588/837510 , 11368/2961997 , 10281/275031 , 10486/704072 , 10679/9293 , 10067/1761620151162165141 , 10651/56803 , 11573/1718429 , 11568/1106026 , 20.500.14017/fe08831c-0b32-4e29-ab88-747a08733b3e , 11384/83156 , 11585/803078 , 20.500.11769/413392 , 2158/1210977 , 2318/1766345 , 10044/1/87584 , 11571/1486563
A study of the production of prompt J/ψ mesons contained in jets in proton-proton collisions at s=8TeV is presented. The analysis is based on data corresponding to an integrated luminosity of 19.1 fb−1 collected with the CMS detector at the LHC. For events with at least one observed jet, the angular separation between the J/ψ meson and the jet is used to test whether the J/ψ meson is part of the jet. The analysis shows that most prompt J/ψ mesons having energy above 15 GeV and rapidity |y|<1 are contained in jets with pseudorapidity |ηjet|<1. The differential distributions of the probability to have a J/ψ meson contained in a jet as a function of jet energy for a fixed J/ψ energy fraction are compared to a theoretical model using the fragmenting jet function approach. The data agree best with fragmenting jet function calculations that use a long-distance matrix element parameter set in which prompt J/ψ mesons are predicted to be unpolarized. This technique demonstrates a new way to test predictions for prompt J/ψ production using nonrelativistic quantum chromodynamics. Physics Letters B, 804 ISSN:0370-2693 ISSN:0031-9163 ISSN:1873-2445
Full-text Institutio... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2020License: CC BYData sources: Archivio della Ricerca - Università di PisaKITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2020Full-Text: https://arxiv.org/abs/1910.01686Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87584Data sources: Bielefeld Academic Search Engine (BASE)Belarusian State University: Electronic Library BSUArticle . 2020License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/288135Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/8k1587qnData sources: Bielefeld Academic Search Engine (BASE)Croatian Scientific Bibliography - CROSBIArticle . 2020Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTASpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2020License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoVrije Universiteit Brussel Research PortalArticle . 2020Data sources: Vrije Universiteit Brussel Research PortalPublikationsserver der RWTH Aachen UniversityPreprint . 2019Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2020Data sources: Publikationsserver der RWTH Aachen UniversityArchivio Istituzionale Università di BergamoArticle . 2020Data sources: Archivio Istituzionale Università di BergamoFlore (Florence Research Repository)Article . 2020Data sources: Flore (Florence Research Repository)IRIS - Università degli Studi di CataniaArticle . 2020Data sources: IRIS - Università degli Studi di CataniaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Full-text Institutio... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2020License: CC BYData sources: Archivio della Ricerca - Università di PisaKITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2020Full-Text: https://arxiv.org/abs/1910.01686Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87584Data sources: Bielefeld Academic Search Engine (BASE)Belarusian State University: Electronic Library BSUArticle . 2020License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/288135Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/8k1587qnData sources: Bielefeld Academic Search Engine (BASE)Croatian Scientific Bibliography - CROSBIArticle . 2020Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTASpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2020License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoVrije Universiteit Brussel Research PortalArticle . 2020Data sources: Vrije Universiteit Brussel Research PortalPublikationsserver der RWTH Aachen UniversityPreprint . 2019Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2020Data sources: Publikationsserver der RWTH Aachen UniversityArchivio Istituzionale Università di BergamoArticle . 2020Data sources: Archivio Istituzionale Università di BergamoFlore (Florence Research Repository)Article . 2020Data sources: Flore (Florence Research Repository)IRIS - Università degli Studi di CataniaArticle . 2020Data sources: IRIS - Università degli Studi di CataniaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.physletb.2020.135409&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Research , Report , Preprint , Journal 2020Embargo end date: 10 May 2020 United Kingdom, Spain, Italy, Croatia, United States, Italy, France, United Kingdom, Italy, Croatia, Italy, Croatia, Belgium, France, Turkey, Italy, Croatia, Germany, Italy, France, Italy, Germany, Belgium, Italy, Germany, Germany, Italy, Italy, United Kingdom, Belarus, Belarus, Belgium, Spain, Italy, France, United States, Switzerland, Italy, ItalyPublisher:Elsevier BV Funded by:DFG, EC | LHCTOPVLQ, EC | AMVA4NewPhysics +2 projectsDFG ,EC| LHCTOPVLQ ,EC| AMVA4NewPhysics ,EC| INSIGHTS ,GSRIAntonin Kveton; Marco Toliman Lucchini; Andromachi Tsirou; Luca Cadamuro; Jaana Kristiina Heikkilä; Dave M Newbold; David Saltzberg; Cécile Caillol; N. De Filippis; Petra Merkel; Jan Tomsa; M. Della Negra; David Jonathan Hofman; Stephen Sanders; Pushpalatha C Bhat; Daniel Gonzalez; Christopher West; Sandeep Bhowmik; Victor Golovtcov; G. B. Mohanty; E. Gurpinar Guler; Vyacheslav Klyukhin; Markus Seidel; Damir Devetak; Stephan Lammel; J. S. Lange; Paolo Ronchese; Paolo Ronchese; W. T. Hung; Stepan Obraztsov; Tommaso Dorigo; Dario Bisello; Dario Bisello; Raffaella Radogna; Milan Stojanovic; Quentin Python; Emanuela Barberis; J. R. González Fernández; Pedro Silva; Pedro G Mercadante; Grace Cummings; Marc Dejardin; Marta Verweij; P. Busson; Pascal Paganini; Willem Verbeke; Fabio Monti; Fabio Monti; Daniel Abercrombie; George Stephans; F. L. Fabbri; C. Baldenegro Barrera; P. E. Karchin; Matteo Cremonesi; James Wetzel; Jordan Martins; Marguerite Tonjes; D. Di Croce; L. J. Gutay; Jehad Mousa; Colin Bernet; W. Van Doninck; Kaya Tatar; Michael Dittmar; J. M. Grados Luyando; Hualin Mei; Marc Dobson; Maral Alyari; Paul Baillon; Nicholas Menendez; Yiwen Wen; Radek Zlebcik; A. Baden; Pietro Vischia; Mingshui Chen; Tilman Rohe; Haiyan Wang; Santiago Folgueras; P. Martinez Ruiz del Arbol; E. M. Da Costa; Altan Cakir; V. Monaco; K. H. M. Kwok; Christopher Hill; Gigi Rolandi; Basil Schneider; Alexander Ershov; Daniel Rosenzweig; Kyungwook Nam; Bruno Galinhas; James D. Olsen; Jamal Rorie; Prashant Shukla; Alicia Calderon; Candan Dozen; Marc Osherson; Eija Tuominen; Himal Acharya; Klaas Padeken; Davide Piccolo; Hugo Delannoy; Igor Lokhtin; Nadir Daci; Christophe Royon; Mauricio Thiel; W. De Boer; Cédric Prieels; A. Da Rold; C. A. Salazar González; Johannes Brandstetter; R. Loveless; Aleksandra Lelek; Frank Würthwein; Cristina Tuve; Inkyu Park; Didar Dobur; Elena Voevodina; Ivan Marchesini; Mariana Shopova; Y. Musienko; Bibhuprasad Mahakud; Jorma Tuominiemi; J. Duarte Campderros; Sumit Keshri; Ekaterina Kuznetsova; Pierluigi Zotto; Pierluigi Zotto; Salim Cerci; Fabrizio Palla; Zhen Hu; Daniel Winterbottom; Dinko Ferencek; Charles Maguire; Zoltan Gecse; Y. C. Yang; Graham Wilson; Andreas Albert; Ivan Mikulec; A. A. Bin Anuar; J. C. Freeman; Francesco Fiori; Frans Meijers; Patricia McBride; Raman Khurana; Joosep Pata; M. Bluj; D. Kim; Andreas Werner Jung; Gabriel Madigan; Attilio Santocchia; Yu. Andreev; Kristian Allan Hahn; M. Flechl; Rui Xiao; Igor Smirnov; Georg Steinbrück; Warren Clarida; Nathaniel Odell; G. Bagliesi; Silvano Tosi; Nicholas Smith; Tobias Pook; Thorsten Chwalek; Alexis Kalogeropoulos; Sourabh Dube; Ennio Monteil; Matthias Wolf; Caroline Collard; Dooyeon Gyun; I. Gonzalez Caballero; Aleko Khukhunaishvili; Yen-Jie Lee; Andrea Malara; Jane Nachtman; Magda Diamantopoulou; Janos Erö; Konstanty Sumorok; J. Suarez Gonzalez; Alessandra Fanfani; M. R. Adams; Z. Liu; Süleyman Durgut; Marek Walczak; Paolo Dini; Rainer Wallny; Michael Mulhearn; Charles C. Richardson; Igor Golutvin; Mircho Rodozov; Oleksii Toldaiev; Andreas Mussgiller; Marc Dünser; Maximilian Heindl; W. Ji; Sergei Gleyzer; Mayda Velasco; Gabriella Pasztor; Renato Potenza; A. Vorobyev; Stephen Robert Wagner;doi: 10.1016/j.physletb.2020.135409 , 10.3929/ethz-b-000409328 , 10.18154/rwth-2021-02348 , 10.5445/ir/1000118244 , 10.3204/pubdb-2020-01701 , 10.18154/rwth-2021-02305
handle: 11588/837510 , 11368/2961997 , 10281/275031 , 10486/704072 , 10679/9293 , 10067/1761620151162165141 , 10651/56803 , 11573/1718429 , 11568/1106026 , 20.500.14017/fe08831c-0b32-4e29-ab88-747a08733b3e , 11384/83156 , 11585/803078 , 20.500.11769/413392 , 2158/1210977 , 2318/1766345 , 10044/1/87584 , 11571/1486563
doi: 10.1016/j.physletb.2020.135409 , 10.3929/ethz-b-000409328 , 10.18154/rwth-2021-02348 , 10.5445/ir/1000118244 , 10.3204/pubdb-2020-01701 , 10.18154/rwth-2021-02305
handle: 11588/837510 , 11368/2961997 , 10281/275031 , 10486/704072 , 10679/9293 , 10067/1761620151162165141 , 10651/56803 , 11573/1718429 , 11568/1106026 , 20.500.14017/fe08831c-0b32-4e29-ab88-747a08733b3e , 11384/83156 , 11585/803078 , 20.500.11769/413392 , 2158/1210977 , 2318/1766345 , 10044/1/87584 , 11571/1486563
A study of the production of prompt J/ψ mesons contained in jets in proton-proton collisions at s=8TeV is presented. The analysis is based on data corresponding to an integrated luminosity of 19.1 fb−1 collected with the CMS detector at the LHC. For events with at least one observed jet, the angular separation between the J/ψ meson and the jet is used to test whether the J/ψ meson is part of the jet. The analysis shows that most prompt J/ψ mesons having energy above 15 GeV and rapidity |y|<1 are contained in jets with pseudorapidity |ηjet|<1. The differential distributions of the probability to have a J/ψ meson contained in a jet as a function of jet energy for a fixed J/ψ energy fraction are compared to a theoretical model using the fragmenting jet function approach. The data agree best with fragmenting jet function calculations that use a long-distance matrix element parameter set in which prompt J/ψ mesons are predicted to be unpolarized. This technique demonstrates a new way to test predictions for prompt J/ψ production using nonrelativistic quantum chromodynamics. Physics Letters B, 804 ISSN:0370-2693 ISSN:0031-9163 ISSN:1873-2445
Full-text Institutio... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2020License: CC BYData sources: Archivio della Ricerca - Università di PisaKITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2020Full-Text: https://arxiv.org/abs/1910.01686Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87584Data sources: Bielefeld Academic Search Engine (BASE)Belarusian State University: Electronic Library BSUArticle . 2020License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/288135Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/8k1587qnData sources: Bielefeld Academic Search Engine (BASE)Croatian Scientific Bibliography - CROSBIArticle . 2020Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTASpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2020License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoVrije Universiteit Brussel Research PortalArticle . 2020Data sources: Vrije Universiteit Brussel Research PortalPublikationsserver der RWTH Aachen UniversityPreprint . 2019Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2020Data sources: Publikationsserver der RWTH Aachen UniversityArchivio Istituzionale Università di BergamoArticle . 2020Data sources: Archivio Istituzionale Università di BergamoFlore (Florence Research Repository)Article . 2020Data sources: Flore (Florence Research Repository)IRIS - Università degli Studi di CataniaArticle . 2020Data sources: IRIS - Università degli Studi di CataniaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Full-text Institutio... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2020License: CC BYData sources: Archivio della Ricerca - Università di PisaKITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2020Full-Text: https://arxiv.org/abs/1910.01686Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87584Data sources: Bielefeld Academic Search Engine (BASE)Belarusian State University: Electronic Library BSUArticle . 2020License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/288135Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/8k1587qnData sources: Bielefeld Academic Search Engine (BASE)Croatian Scientific Bibliography - CROSBIArticle . 2020Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTASpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2020License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoVrije Universiteit Brussel Research PortalArticle . 2020Data sources: Vrije Universiteit Brussel Research PortalPublikationsserver der RWTH Aachen UniversityPreprint . 2019Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2020Data sources: Publikationsserver der RWTH Aachen UniversityArchivio Istituzionale Università di BergamoArticle . 2020Data sources: Archivio Istituzionale Università di BergamoFlore (Florence Research Repository)Article . 2020Data sources: Flore (Florence Research Repository)IRIS - Università degli Studi di CataniaArticle . 2020Data sources: IRIS - Università degli Studi di CataniaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020 United KingdomPublisher:Public Library of Science (PLoS) Funded by:UKRI | HUMAN-AGENT COLLECTIVES: ..., UKRI | Intelligent Agents for Ho...UKRI| HUMAN-AGENT COLLECTIVES: FROM FOUNDATIONS TO APPLICATIONS [ORCHID] ,UKRI| Intelligent Agents for Home Energy ManagementSasan Maleki; Talal Rahwan; Siddhartha Ghosh; Areej Malibari; Daniyal Alghazzawi; Alex Rogers; Hamid Beigy; Nicholas R. Jennings;We consider a demand response program in which a block of apartments receive a discount from their electricity supplier if they ensure that their aggregate load from air conditioning does not exceed a predetermined threshold. The goal of the participants is to obtain the discount, while ensuring that their individual temperature preferences are also satisfied. As such, the apartments need to collectively optimise their use of air conditioning so as to satisfy these constraints and minimise their costs. Given an optimal cooling profile that secures the discount, the problem that the apartments face then is to divide the total discounted cost in a fair way. To achieve this, we take a coalitional game approach and propose the use of the Shapley value from cooperative game theory, which is the normative payoff division mechanism that offers a unique set of desirable fairness properties. However, applying the Shapley value in this setting presents a novel computational challenge. This is because its calculation requires, as input, the cost of every subset of apartments, which means solving an exponential number of collective optimisations, each of which is a computationally intensive problem. To address this, we propose solving the optimisation problem of each subset suboptimally, to allow for acceptable solutions that require less computation. We show that, due to the linearity property of the Shapley value, if suboptimal costs are used rather than optimal ones, the division of the discount will be fair in the following sense: each apartment is fairly "rewarded" for its contribution to the optimal cost and, at the same time, is fairly "penalised" for its contribution to the discrepancy between the suboptimal and the optimal costs. Importantly, this is achieved without requiring the optimal solutions.
Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10044/1/76403Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryOxford University Research ArchiveArticle . 2019License: CC BYData sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 15 citations 15 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10044/1/76403Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryOxford University Research ArchiveArticle . 2019License: CC BYData sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020 United KingdomPublisher:Public Library of Science (PLoS) Funded by:UKRI | HUMAN-AGENT COLLECTIVES: ..., UKRI | Intelligent Agents for Ho...UKRI| HUMAN-AGENT COLLECTIVES: FROM FOUNDATIONS TO APPLICATIONS [ORCHID] ,UKRI| Intelligent Agents for Home Energy ManagementSasan Maleki; Talal Rahwan; Siddhartha Ghosh; Areej Malibari; Daniyal Alghazzawi; Alex Rogers; Hamid Beigy; Nicholas R. Jennings;We consider a demand response program in which a block of apartments receive a discount from their electricity supplier if they ensure that their aggregate load from air conditioning does not exceed a predetermined threshold. The goal of the participants is to obtain the discount, while ensuring that their individual temperature preferences are also satisfied. As such, the apartments need to collectively optimise their use of air conditioning so as to satisfy these constraints and minimise their costs. Given an optimal cooling profile that secures the discount, the problem that the apartments face then is to divide the total discounted cost in a fair way. To achieve this, we take a coalitional game approach and propose the use of the Shapley value from cooperative game theory, which is the normative payoff division mechanism that offers a unique set of desirable fairness properties. However, applying the Shapley value in this setting presents a novel computational challenge. This is because its calculation requires, as input, the cost of every subset of apartments, which means solving an exponential number of collective optimisations, each of which is a computationally intensive problem. To address this, we propose solving the optimisation problem of each subset suboptimally, to allow for acceptable solutions that require less computation. We show that, due to the linearity property of the Shapley value, if suboptimal costs are used rather than optimal ones, the division of the discount will be fair in the following sense: each apartment is fairly "rewarded" for its contribution to the optimal cost and, at the same time, is fairly "penalised" for its contribution to the discrepancy between the suboptimal and the optimal costs. Importantly, this is achieved without requiring the optimal solutions.
Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10044/1/76403Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryOxford University Research ArchiveArticle . 2019License: CC BYData sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 15 citations 15 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10044/1/76403Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryOxford University Research ArchiveArticle . 2019License: CC BYData sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0227049&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023Embargo end date: 28 May 2024 Australia, France, Spain, Italy, United Kingdom, United Kingdom, SpainPublisher:American Chemical Society (ACS) Funded by:UKRI | Understanding and Improvi..., UKRI | Supergen Storage Network ...UKRI| Understanding and Improving Electrochemical Carbon Dioxide Capture ,UKRI| Supergen Storage Network Plus 2019Gittins, Jamie; Chen, Yuan; Arnold, Stefanie; Augustyn, Veronica; Balducci, Andrea; Brousse, Thierry; Frackowiak, Elzbieta; Gómez-Romero, Pedro; Kanwade, Archana; Köps, Lukas; Jha, Plawan Kumar; Lyu, Dongxun; Meo, Michele; Pandey, Deepak; Pang, Le; Presser, Volker; Rapisarda, Mario; Rueda-García, Daniel; Saeed, Saeed; Shirage, Parasharam; Ślesiński, Adam; Soavi, Francesca; Thomas, Jayan; Titirici, Maria-Magdalena; Wang, Hongxia; Xu, Zhen; Yu, Aiping; Zhang, Maiwen; Forse, Alexander;Supercapacitors are fast-charging energy storage devices of great importance for developing robust and climate-friendly energy infrastructures for the future. Research in this field has seen rapid growth in recent years. Therefore, consistent reporting practices must be implemented to enable reliable comparison of device performance. Although several studies have highlighted the best practices for analysing and reporting data from such energy storage devices, there is yet to be an empirical study investigating whether researchers in the field are correctly implementing these recommendations, and which assesses the variation in reporting between different laboratories. Here, we address this deficit by carrying out the first interlaboratory study of the analysis of supercapacitor electrochemistry data. We find that the use of incorrect formulae and researchers having different interpretations of key terminologies are the primary causes of variability in data reporting. Furthermore, we highlight the more significant variation in reported results for electrochemical profiles showing non-ideal capacitive behaviour. From the insights gained through this study, we make additional recommendations to the community to help ensure consistent reporting of performance metrics moving forward.
Archivio istituziona... arrow_drop_down https://doi.org/10.26434/chemr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2023 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2023License: CC BYData sources: Diposit Digital de Documents de la UABUniversité de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)The University of Manchester - Institutional RepositoryArticle . 2023Data sources: The University of Manchester - Institutional RepositoryQueensland University of Technology: QUT ePrintsArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Université de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.26434/chemrxiv-2023-fjllf-v2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Archivio istituziona... arrow_drop_down https://doi.org/10.26434/chemr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2023 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2023License: CC BYData sources: Diposit Digital de Documents de la UABUniversité de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)The University of Manchester - Institutional RepositoryArticle . 2023Data sources: The University of Manchester - Institutional RepositoryQueensland University of Technology: QUT ePrintsArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Université de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.26434/chemrxiv-2023-fjllf-v2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023Embargo end date: 28 May 2024 Australia, France, Spain, Italy, United Kingdom, United Kingdom, SpainPublisher:American Chemical Society (ACS) Funded by:UKRI | Understanding and Improvi..., UKRI | Supergen Storage Network ...UKRI| Understanding and Improving Electrochemical Carbon Dioxide Capture ,UKRI| Supergen Storage Network Plus 2019Gittins, Jamie; Chen, Yuan; Arnold, Stefanie; Augustyn, Veronica; Balducci, Andrea; Brousse, Thierry; Frackowiak, Elzbieta; Gómez-Romero, Pedro; Kanwade, Archana; Köps, Lukas; Jha, Plawan Kumar; Lyu, Dongxun; Meo, Michele; Pandey, Deepak; Pang, Le; Presser, Volker; Rapisarda, Mario; Rueda-García, Daniel; Saeed, Saeed; Shirage, Parasharam; Ślesiński, Adam; Soavi, Francesca; Thomas, Jayan; Titirici, Maria-Magdalena; Wang, Hongxia; Xu, Zhen; Yu, Aiping; Zhang, Maiwen; Forse, Alexander;Supercapacitors are fast-charging energy storage devices of great importance for developing robust and climate-friendly energy infrastructures for the future. Research in this field has seen rapid growth in recent years. Therefore, consistent reporting practices must be implemented to enable reliable comparison of device performance. Although several studies have highlighted the best practices for analysing and reporting data from such energy storage devices, there is yet to be an empirical study investigating whether researchers in the field are correctly implementing these recommendations, and which assesses the variation in reporting between different laboratories. Here, we address this deficit by carrying out the first interlaboratory study of the analysis of supercapacitor electrochemistry data. We find that the use of incorrect formulae and researchers having different interpretations of key terminologies are the primary causes of variability in data reporting. Furthermore, we highlight the more significant variation in reported results for electrochemical profiles showing non-ideal capacitive behaviour. From the insights gained through this study, we make additional recommendations to the community to help ensure consistent reporting of performance metrics moving forward.
Archivio istituziona... arrow_drop_down https://doi.org/10.26434/chemr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2023 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2023License: CC BYData sources: Diposit Digital de Documents de la UABUniversité de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)The University of Manchester - Institutional RepositoryArticle . 2023Data sources: The University of Manchester - Institutional RepositoryQueensland University of Technology: QUT ePrintsArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Université de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.26434/chemrxiv-2023-fjllf-v2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Archivio istituziona... arrow_drop_down https://doi.org/10.26434/chemr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2023 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2023License: CC BYData sources: Diposit Digital de Documents de la UABUniversité de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)The University of Manchester - Institutional RepositoryArticle . 2023Data sources: The University of Manchester - Institutional RepositoryQueensland University of Technology: QUT ePrintsArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Université de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.26434/chemrxiv-2023-fjllf-v2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 United KingdomPublisher:Institute of Electrical and Electronics Engineers (IEEE) Authors: Sepideh Nazemi; Kin K. Leung; Ananthram Swami;handle: 10044/1/74634
In-Network Processing (INP) is an effective way to aggregate and process data from different sources and forward the aggregated data to other nodes for further processing until it reaches the end user. There is a trade-off between energy consumption for processing data and communication energy spent on transferring the data. An essential requirement in the INP process is to ensure that the user expectation of quality of information (QoI) is delivered during the process. Using wireless sensor networks for illustration and with the aim of minimizing the total energy consumption of the system, we study and formulate the trade-off problem as a nonlinear optimization problem where the goal is to determine the optimal data reduction rate, while satisfying the QoI required by the user. The formulated problem is a Signomial Programming (SP) problem, which is a non-convex optimization problem. We propose two solution frameworks. First, we introduce an equivalent problem which is still SP and non-convex as the original one, but we prove that the strong duality property holds, and propose an efficient distributed algorithm to obtain the optimal data reduction rates, while delivering the required QoI. The second framework applies to the system with identical nodes and parameter settings. In such cases, we prove that the complexity of the problem can be reduced logarithmically. We evaluate our proposed frameworks under different parameter settings and illustrate the validity and performance of the proposed techniques through extensive simulation.
IEEE/ACM Transaction... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryIEEE/ACM Transactions on NetworkingArticle . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert IEEE/ACM Transaction... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryIEEE/ACM Transactions on NetworkingArticle . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 United KingdomPublisher:Institute of Electrical and Electronics Engineers (IEEE) Authors: Sepideh Nazemi; Kin K. Leung; Ananthram Swami;handle: 10044/1/74634
In-Network Processing (INP) is an effective way to aggregate and process data from different sources and forward the aggregated data to other nodes for further processing until it reaches the end user. There is a trade-off between energy consumption for processing data and communication energy spent on transferring the data. An essential requirement in the INP process is to ensure that the user expectation of quality of information (QoI) is delivered during the process. Using wireless sensor networks for illustration and with the aim of minimizing the total energy consumption of the system, we study and formulate the trade-off problem as a nonlinear optimization problem where the goal is to determine the optimal data reduction rate, while satisfying the QoI required by the user. The formulated problem is a Signomial Programming (SP) problem, which is a non-convex optimization problem. We propose two solution frameworks. First, we introduce an equivalent problem which is still SP and non-convex as the original one, but we prove that the strong duality property holds, and propose an efficient distributed algorithm to obtain the optimal data reduction rates, while delivering the required QoI. The second framework applies to the system with identical nodes and parameter settings. In such cases, we prove that the complexity of the problem can be reduced logarithmically. We evaluate our proposed frameworks under different parameter settings and illustrate the validity and performance of the proposed techniques through extensive simulation.
IEEE/ACM Transaction... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryIEEE/ACM Transactions on NetworkingArticle . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tnet.2019.2953581&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert IEEE/ACM Transaction... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryIEEE/ACM Transactions on NetworkingArticle . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tnet.2019.2953581&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021Publisher:Springer Science and Business Media LLC Mark Howells; Jairo Quirós‐Tortós; Robbie Morrison; Holger Rogner; Taco Niet; Luca Petrarulo; Will Usher; William Blyth; Guido Godínez; Luis F. Victor; Jam Angulo; Franziska Bock; Eduardo Teneda Ramos; Francesco Gardumi; Ludwig Hülk; Patrick Van-Hove; Estathios Peteves; Felipe De León; Andrea Meza; Thomas Alfstad; Constantinos Taliotis; George Partasides; Nicolina Lindblad; Benjamin U. Stewart; Ashish Shrestha; Dana Rysankova; Adrien Vogt‐Schilb; Chris Bataille; Henri Waisman; Asami Miketa; Pablo Carvajal; Daniel Russo; Morgan Bazilian; Andrii Gritsevskyi; Mario Tot; Adrian M. Tompkins;Abstract Energy modelling is the process of using mathematical models to develop abstractions and then seek insights into future energy systems. It can be an abstract academic activity. Or, it can insert threads that influence our development. We argue therefore, that energy modelling that provides policy support (EMoPS) should not only be grounded in rigorous analytics, but also in good governance principles. As, together with other policy actions, it should be accountable. Almost all aspects of society and much of its impact on the environment are influenced by our use of energy. In this context, EMoPS can inspire, motivate, calibrate, and ‘post assess’ energy policy. But, such modeling is often undertaken by too few analysts under time and resource pressure. Building on the advances of ‘class leaders’, we propose that EMoPS should reach for practical goals — including engagement and accountability with the communities it involves, and those it will later affect. (We use the term Ubuntu, meaning ‘I am because you are’ to capture this interdependency). We argue that Ubuntu, together with retrievability, repeatability, reconstructability, interoperability and auditability (U4RIA) of EMoPS should be used to signal the beginnings of a new default practice. We demonstrate how the U4RIA principles can contribute in practice using recent modelling of aspirational energy futures by Costa Rica as a case study. This modelling effort includes community involvement and interfaces and integrates stakeholder involvement. It leaves a trail that allows for its auditing and accountability, while building capacity and sustainable institutional memory.
https://doi.org/10.2... arrow_drop_down https://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21203/rs.3.rs-311311/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 19 citations 19 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert https://doi.org/10.2... arrow_drop_down https://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21203/rs.3.rs-311311/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021Publisher:Springer Science and Business Media LLC Mark Howells; Jairo Quirós‐Tortós; Robbie Morrison; Holger Rogner; Taco Niet; Luca Petrarulo; Will Usher; William Blyth; Guido Godínez; Luis F. Victor; Jam Angulo; Franziska Bock; Eduardo Teneda Ramos; Francesco Gardumi; Ludwig Hülk; Patrick Van-Hove; Estathios Peteves; Felipe De León; Andrea Meza; Thomas Alfstad; Constantinos Taliotis; George Partasides; Nicolina Lindblad; Benjamin U. Stewart; Ashish Shrestha; Dana Rysankova; Adrien Vogt‐Schilb; Chris Bataille; Henri Waisman; Asami Miketa; Pablo Carvajal; Daniel Russo; Morgan Bazilian; Andrii Gritsevskyi; Mario Tot; Adrian M. Tompkins;Abstract Energy modelling is the process of using mathematical models to develop abstractions and then seek insights into future energy systems. It can be an abstract academic activity. Or, it can insert threads that influence our development. We argue therefore, that energy modelling that provides policy support (EMoPS) should not only be grounded in rigorous analytics, but also in good governance principles. As, together with other policy actions, it should be accountable. Almost all aspects of society and much of its impact on the environment are influenced by our use of energy. In this context, EMoPS can inspire, motivate, calibrate, and ‘post assess’ energy policy. But, such modeling is often undertaken by too few analysts under time and resource pressure. Building on the advances of ‘class leaders’, we propose that EMoPS should reach for practical goals — including engagement and accountability with the communities it involves, and those it will later affect. (We use the term Ubuntu, meaning ‘I am because you are’ to capture this interdependency). We argue that Ubuntu, together with retrievability, repeatability, reconstructability, interoperability and auditability (U4RIA) of EMoPS should be used to signal the beginnings of a new default practice. We demonstrate how the U4RIA principles can contribute in practice using recent modelling of aspirational energy futures by Costa Rica as a case study. This modelling effort includes community involvement and interfaces and integrates stakeholder involvement. It leaves a trail that allows for its auditing and accountability, while building capacity and sustainable institutional memory.
https://doi.org/10.2... arrow_drop_down https://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21203/rs.3.rs-311311/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 19 citations 19 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert https://doi.org/10.2... arrow_drop_down https://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21203/rs.3.rs-311311/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 United KingdomPublisher:Regional Energy Resources Information Center Vallejo, L; Mazur, C; Strapasson, A; Cockerill, T; Gambhir, A; Hills, T; Jennings, M; Jones, O; Kalas, N; Keirstead, J; Khor, C; Napp, T; Tong, D; Woods, J; Shah, N;handle: 10044/1/86376
This study provides a whole-systems simulation on how to halve global CO2 emissions by 2050, compared to 2010, with an emphasis on technologies and costs, in order to avoid a dangerous increase in the global mean surface temperature by end the of this century. There still remains uncertainty as to how much a low-carbon energy system costs compared to a high-carbon system. Integrated assessment models (IAMs) show a large range of costs of mitigation towards the 2°C target, with up to an order of magnitude difference between the highest and lowest cost, depending on a number of factors including model structure, technology availability and costs, and the degree of feedback with the wider macro-economy. A simpler analysis potentially serves to highlight where costs fall and to what degree. Here we show that the additional cost of a low-carbon energy system is less than 1% of global GDP more than a system resulting from low mitigation effort. The proposed approach aligns with some previous IAMs and other projections discussed in the paper, whilst also providing a clearer and more detailed view of the world. Achieving this system by 2050, with CO2 emissions of about 15GtCO2, depends heavily on decarbonisation of the electricity sector to around 100gCO2/kWh, as well as on maximising energy efficiency potential across all sectors. This scenario would require a major mitigation effort in all the assessed world regions. However, in order to keep the global mean surface temperature increase below 1.5°C, it would be necessary to achieve net-zero emission by 2050, requiring a much further mitigation effort.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::813606c98bdb3855b82d597ff3b21cda&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::813606c98bdb3855b82d597ff3b21cda&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 United KingdomPublisher:Regional Energy Resources Information Center Vallejo, L; Mazur, C; Strapasson, A; Cockerill, T; Gambhir, A; Hills, T; Jennings, M; Jones, O; Kalas, N; Keirstead, J; Khor, C; Napp, T; Tong, D; Woods, J; Shah, N;handle: 10044/1/86376
This study provides a whole-systems simulation on how to halve global CO2 emissions by 2050, compared to 2010, with an emphasis on technologies and costs, in order to avoid a dangerous increase in the global mean surface temperature by end the of this century. There still remains uncertainty as to how much a low-carbon energy system costs compared to a high-carbon system. Integrated assessment models (IAMs) show a large range of costs of mitigation towards the 2°C target, with up to an order of magnitude difference between the highest and lowest cost, depending on a number of factors including model structure, technology availability and costs, and the degree of feedback with the wider macro-economy. A simpler analysis potentially serves to highlight where costs fall and to what degree. Here we show that the additional cost of a low-carbon energy system is less than 1% of global GDP more than a system resulting from low mitigation effort. The proposed approach aligns with some previous IAMs and other projections discussed in the paper, whilst also providing a clearer and more detailed view of the world. Achieving this system by 2050, with CO2 emissions of about 15GtCO2, depends heavily on decarbonisation of the electricity sector to around 100gCO2/kWh, as well as on maximising energy efficiency potential across all sectors. This scenario would require a major mitigation effort in all the assessed world regions. However, in order to keep the global mean surface temperature increase below 1.5°C, it would be necessary to achieve net-zero emission by 2050, requiring a much further mitigation effort.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::813606c98bdb3855b82d597ff3b21cda&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::813606c98bdb3855b82d597ff3b21cda&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United KingdomPublisher:MDPI AG Weilin Zeng; Xujiang Wang; Kai Hong Luo; Konstantina Vogiatzaki; Salvador Navarro-Martinez;In this study, the generality and prediction accuracy of a generalised series model for the large eddy simulation of premixed and non-premixed turbulent combustion is explored. The model is based on the Taylor series expansion of the chemical source term in scalar space and implemented into OpenFOAM. The mathematical model does not depend on combustion regimes and has the correct limiting behaviour. The numerical error sources are also outlined and analysed. The model is first applied to a piloted methane/air non-premixed jet flame (Sandia Flame D). The statistical (time-averaged and RMS) results agree well with the experimental measurements, particularly with regard to the mixture fraction, velocity, temperature, and concentrations of major species CH4, CO2, H2O, and O2. However, the concentrations of the intermediates CO and H2 are over-predicted, due to the limitations of the reduced reaction mechanism employed. Then, a Bunsen-piloted flame is simulated. Most of the statistical properties of both the reactive species and progress variables are well reproduced. The only major discrepancy evident is in the temperature, which is probably attributed to the experimental uncertainties of temperature fields in the pilot stream. These findings demonstrate the model’s generality for both a premixed and non-premixed combustion simulation, as well as the accuracy of prediction of reactive species distribution.
Energies arrow_drop_down https://doi.org/10.20944/prepr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en17010252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Energies arrow_drop_down https://doi.org/10.20944/prepr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en17010252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United KingdomPublisher:MDPI AG Weilin Zeng; Xujiang Wang; Kai Hong Luo; Konstantina Vogiatzaki; Salvador Navarro-Martinez;In this study, the generality and prediction accuracy of a generalised series model for the large eddy simulation of premixed and non-premixed turbulent combustion is explored. The model is based on the Taylor series expansion of the chemical source term in scalar space and implemented into OpenFOAM. The mathematical model does not depend on combustion regimes and has the correct limiting behaviour. The numerical error sources are also outlined and analysed. The model is first applied to a piloted methane/air non-premixed jet flame (Sandia Flame D). The statistical (time-averaged and RMS) results agree well with the experimental measurements, particularly with regard to the mixture fraction, velocity, temperature, and concentrations of major species CH4, CO2, H2O, and O2. However, the concentrations of the intermediates CO and H2 are over-predicted, due to the limitations of the reduced reaction mechanism employed. Then, a Bunsen-piloted flame is simulated. Most of the statistical properties of both the reactive species and progress variables are well reproduced. The only major discrepancy evident is in the temperature, which is probably attributed to the experimental uncertainties of temperature fields in the pilot stream. These findings demonstrate the model’s generality for both a premixed and non-premixed combustion simulation, as well as the accuracy of prediction of reactive species distribution.
Energies arrow_drop_down https://doi.org/10.20944/prepr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en17010252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Energies arrow_drop_down https://doi.org/10.20944/prepr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en17010252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2020 United KingdomPublisher:Emerald Funded by:UKRI | Realising Transition Path..., UKRI | Transition pathways to a ...UKRI| Realising Transition Pathways - Whole Systems Analysis for a UK More Electric Low Carbon Energy Future ,UKRI| Transition pathways to a low carbon economyAuthors: Timothy J. Foxon; Geoffrey P. Hammond; Peter J. G. Pearson;A large interdisciplinary consortium of engineers, social scientists and policy analysts has developed three low-emissions, more-electric transition pathways for the UK. The approach is based on earlier work on understanding transitions, applying a multi-level perspective with landscape, regime and niche levels to the development of socio-technical scenarios. The pathways to 2050 focus on the power sector, including the potential for increasing the use of low-emissions electricity for heating and transport. Part 1 described studies of historical energy and infrastructure transitions that help to understand the dynamics and timing of past transitions. The role of large-scale and small-scale actors in the electricity sector and methods used to develop the pathways were also described. In part 2, associated technologies are evaluated to determine the choices that need to be made by UK energy policymakers and stakeholders. All three pathways are appraised in terms of their environmental performance using complementary life-cycle assessment and footprinting methods. Lessons can clearly be drawn for other industrialised nations attempting to reduce the emissions of their electricity generation systems, although local circumstances will determine country- and region-specific options.
CORE arrow_drop_down COREArticle . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORE (RIOXX-UK Aggregator)University of Bath's research portalArticle . 2020Data sources: University of Bath's research portalProceedings of the Institution of Civil Engineers - EnergyArticle . 2020 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1680/jener.19.00076&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert CORE arrow_drop_down COREArticle . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORE (RIOXX-UK Aggregator)University of Bath's research portalArticle . 2020Data sources: University of Bath's research portalProceedings of the Institution of Civil Engineers - EnergyArticle . 2020 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1680/jener.19.00076&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2020 United KingdomPublisher:Emerald Funded by:UKRI | Realising Transition Path..., UKRI | Transition pathways to a ...UKRI| Realising Transition Pathways - Whole Systems Analysis for a UK More Electric Low Carbon Energy Future ,UKRI| Transition pathways to a low carbon economyAuthors: Timothy J. Foxon; Geoffrey P. Hammond; Peter J. G. Pearson;A large interdisciplinary consortium of engineers, social scientists and policy analysts has developed three low-emissions, more-electric transition pathways for the UK. The approach is based on earlier work on understanding transitions, applying a multi-level perspective with landscape, regime and niche levels to the development of socio-technical scenarios. The pathways to 2050 focus on the power sector, including the potential for increasing the use of low-emissions electricity for heating and transport. Part 1 described studies of historical energy and infrastructure transitions that help to understand the dynamics and timing of past transitions. The role of large-scale and small-scale actors in the electricity sector and methods used to develop the pathways were also described. In part 2, associated technologies are evaluated to determine the choices that need to be made by UK energy policymakers and stakeholders. All three pathways are appraised in terms of their environmental performance using complementary life-cycle assessment and footprinting methods. Lessons can clearly be drawn for other industrialised nations attempting to reduce the emissions of their electricity generation systems, although local circumstances will determine country- and region-specific options.
CORE arrow_drop_down COREArticle . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORE (RIOXX-UK Aggregator)University of Bath's research portalArticle . 2020Data sources: University of Bath's research portalProceedings of the Institution of Civil Engineers - EnergyArticle . 2020 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1680/jener.19.00076&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert CORE arrow_drop_down COREArticle . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORE (RIOXX-UK Aggregator)University of Bath's research portalArticle . 2020Data sources: University of Bath's research portalProceedings of the Institution of Civil Engineers - EnergyArticle . 2020 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1680/jener.19.00076&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 United KingdomPublisher:American Chemical Society (ACS) Funded by:UKRI | Application Targeted and ..., EC | CAPaCITy, UKRI | Stability of Organic Sola...UKRI| Application Targeted and Integrated Photovoltaics - Enhancing UK Capability in Solar ,EC| CAPaCITy ,UKRI| Stability of Organic Solar Cells based on Non-Fullerene AcceptorsHou, Xueyan; Coker, Jack F.; Yan, Jun; Shi, Xingyuan; Azzouzi, Mohammed; Eisner, Flurin D.; McGettrick, James D.; Tuladhar, Sachetan M.; Abrahams, Isaac; Frost, Jarvist M.; Li, Zhe; Dennis, T. John S.; Nelson, Jenny;Higher adducts of a fullerene, such as the bis-adduct of PCBM (bis-PCBM), can be used to achieve shallower molecular orbital energy levels than, for example, PCBM or C60. Substituting the bis-adduct for the parent fullerene is useful to increase the open-circuit voltage of organic solar cells or achieve better energy alignment as electron transport layers in, for example, perovskite solar cells. However, bis-PCBM is usually synthesized as a mixture of structural isomers, which can lead to both energetic and morphological disorder, negatively affecting device performance. Here, we present a comprehensive study on the molecular properties of 19 pure bis-isomers of PCBM using a variety of characterization methods, including ultraviolet photoelectron spectroscopy, thermal gravimetric analysis, differential scanning calorimetry, single crystal structure, and (time-dependent) density functional theory calculation. We find that the lowest unoccupied molecular orbital of such bis-isomers can be tuned to be up to 170 meV shallower than PCBM and up to 100 meV shallower than the mixture of unseparated isomers. The isolated bis-isomers also show an electron mobility in organic field-effect transistors of up to 4.5 × 10-2 cm2/(V s), which is an order of magnitude higher than that of the mixture of bis-isomers. These properties enable the fabrication of the highest performing bis-PCBM organic solar cell to date, with the best device showing a power conversion efficiency of 7.2%. Interestingly, we find that the crystallinity of bis-isomers correlates negatively with electron mobility and organic solar cell device performance, which we relate to their molecular symmetry, with a lower symmetry leading to more amorphous bis-isomers, less energetic disorder, and higher dimensional electron transport. This work demonstrates the potential of side chain engineering for optimizing the performance of fullerene-based organic electronic devices.
Chemistry of Materia... arrow_drop_down Queen Mary University of London: Queen Mary Research Online (QMRO)Article . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acs.chemmater.3c02353&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!
more_vert Chemistry of Materia... arrow_drop_down Queen Mary University of London: Queen Mary Research Online (QMRO)Article . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acs.chemmater.3c02353&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 United KingdomPublisher:American Chemical Society (ACS) Funded by:UKRI | Application Targeted and ..., EC | CAPaCITy, UKRI | Stability of Organic Sola...UKRI| Application Targeted and Integrated Photovoltaics - Enhancing UK Capability in Solar ,EC| CAPaCITy ,UKRI| Stability of Organic Solar Cells based on Non-Fullerene AcceptorsHou, Xueyan; Coker, Jack F.; Yan, Jun; Shi, Xingyuan; Azzouzi, Mohammed; Eisner, Flurin D.; McGettrick, James D.; Tuladhar, Sachetan M.; Abrahams, Isaac; Frost, Jarvist M.; Li, Zhe; Dennis, T. John S.; Nelson, Jenny;Higher adducts of a fullerene, such as the bis-adduct of PCBM (bis-PCBM), can be used to achieve shallower molecular orbital energy levels than, for example, PCBM or C60. Substituting the bis-adduct for the parent fullerene is useful to increase the open-circuit voltage of organic solar cells or achieve better energy alignment as electron transport layers in, for example, perovskite solar cells. However, bis-PCBM is usually synthesized as a mixture of structural isomers, which can lead to both energetic and morphological disorder, negatively affecting device performance. Here, we present a comprehensive study on the molecular properties of 19 pure bis-isomers of PCBM using a variety of characterization methods, including ultraviolet photoelectron spectroscopy, thermal gravimetric analysis, differential scanning calorimetry, single crystal structure, and (time-dependent) density functional theory calculation. We find that the lowest unoccupied molecular orbital of such bis-isomers can be tuned to be up to 170 meV shallower than PCBM and up to 100 meV shallower than the mixture of unseparated isomers. The isolated bis-isomers also show an electron mobility in organic field-effect transistors of up to 4.5 × 10-2 cm2/(V s), which is an order of magnitude higher than that of the mixture of bis-isomers. These properties enable the fabrication of the highest performing bis-PCBM organic solar cell to date, with the best device showing a power conversion efficiency of 7.2%. Interestingly, we find that the crystallinity of bis-isomers correlates negatively with electron mobility and organic solar cell device performance, which we relate to their molecular symmetry, with a lower symmetry leading to more amorphous bis-isomers, less energetic disorder, and higher dimensional electron transport. This work demonstrates the potential of side chain engineering for optimizing the performance of fullerene-based organic electronic devices.
Chemistry of Materia... arrow_drop_down Queen Mary University of London: Queen Mary Research Online (QMRO)Article . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acs.chemmater.3c02353&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!
more_vert Chemistry of Materia... arrow_drop_down Queen Mary University of London: Queen Mary Research Online (QMRO)Article . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acs.chemmater.3c02353&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Other literature type 2023 United KingdomPublisher:MDPI AG Funded by:UKRI | The London Medical Imagin...UKRI| The London Medical Imaging & Artificial Intelligence Centre for Value Based HealthcareAuthors: Murtaza Haider; Randall Shannon; George P. Moschis; Erkko Autio;doi: 10.3390/su15065358
handle: 10044/1/111068
EntREsilience, a five-country longitudinal qualitative study, was launched in 2020 in China, Malaysia, the Philippines, Thailand and the UK to understand how entrepreneurs manifested resilience in response to the COVID-19 pandemic crisis events from March 2020 to February 2022. EntREsilience proposed a resilience-manifestation process model describing how entrepreneurs responded to the COVID-19 disruption, aided by external and internal enablers, adjusting their businesses to stabilise and even hunting for opportunities to grow their businesses. The present research adds to the findings of EntREsilience by analysing the strategies applied by entrepreneurs in their response to the crisis. This exploratory study focused on the entrepreneurs’ community interactions and studied the effects of these interactions on the response measures adopted by the entrepreneurs. The results describe how the awareness of their stakeholder challenges shaped the entrepreneurial response. Realising the importance of stakeholder well-being to the sustainability of their enterprise motivated the entrepreneurs to develop sustainability competencies towards their stakeholder challenges, innovating solutions for their mutual well-being. By extending the resilience-manifestation process model, this paper proposes a transformation model depicting the process of entrepreneurs transforming into sustainable leaders triggered by stakeholder challenge awareness and moderated by contextual factors.
Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/6/5358/pdfData sources: Multidisciplinary Digital Publishing InstituteImperial College London: SpiralArticle . 2023License: CC BYFull-Text: http://hdl.handle.net/10044/1/111068Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15065358&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/6/5358/pdfData sources: Multidisciplinary Digital Publishing InstituteImperial College London: SpiralArticle . 2023License: CC BYFull-Text: http://hdl.handle.net/10044/1/111068Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15065358&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 United KingdomPublisher:MDPI AG Funded by:UKRI | The London Medical Imagin...UKRI| The London Medical Imaging & Artificial Intelligence Centre for Value Based HealthcareAuthors: Murtaza Haider; Randall Shannon; George P. Moschis; Erkko Autio;doi: 10.3390/su15065358
handle: 10044/1/111068
EntREsilience, a five-country longitudinal qualitative study, was launched in 2020 in China, Malaysia, the Philippines, Thailand and the UK to understand how entrepreneurs manifested resilience in response to the COVID-19 pandemic crisis events from March 2020 to February 2022. EntREsilience proposed a resilience-manifestation process model describing how entrepreneurs responded to the COVID-19 disruption, aided by external and internal enablers, adjusting their businesses to stabilise and even hunting for opportunities to grow their businesses. The present research adds to the findings of EntREsilience by analysing the strategies applied by entrepreneurs in their response to the crisis. This exploratory study focused on the entrepreneurs’ community interactions and studied the effects of these interactions on the response measures adopted by the entrepreneurs. The results describe how the awareness of their stakeholder challenges shaped the entrepreneurial response. Realising the importance of stakeholder well-being to the sustainability of their enterprise motivated the entrepreneurs to develop sustainability competencies towards their stakeholder challenges, innovating solutions for their mutual well-being. By extending the resilience-manifestation process model, this paper proposes a transformation model depicting the process of entrepreneurs transforming into sustainable leaders triggered by stakeholder challenge awareness and moderated by contextual factors.
Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/6/5358/pdfData sources: Multidisciplinary Digital Publishing InstituteImperial College London: SpiralArticle . 2023License: CC BYFull-Text: http://hdl.handle.net/10044/1/111068Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15065358&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/6/5358/pdfData sources: Multidisciplinary Digital Publishing InstituteImperial College London: SpiralArticle . 2023License: CC BYFull-Text: http://hdl.handle.net/10044/1/111068Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15065358&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Research , Report , Preprint , Journal 2020Embargo end date: 10 May 2020 United Kingdom, Spain, Italy, Croatia, United States, Italy, France, United Kingdom, Italy, Croatia, Italy, Croatia, Belgium, France, Turkey, Italy, Croatia, Germany, Italy, France, Italy, Germany, Belgium, Italy, Germany, Germany, Italy, Italy, United Kingdom, Belarus, Belarus, Belgium, Spain, Italy, France, United States, Switzerland, Italy, ItalyPublisher:Elsevier BV Funded by:DFG, EC | LHCTOPVLQ, EC | AMVA4NewPhysics +2 projectsDFG ,EC| LHCTOPVLQ ,EC| AMVA4NewPhysics ,EC| INSIGHTS ,GSRIAntonin Kveton; Marco Toliman Lucchini; Andromachi Tsirou; Luca Cadamuro; Jaana Kristiina Heikkilä; Dave M Newbold; David Saltzberg; Cécile Caillol; N. De Filippis; Petra Merkel; Jan Tomsa; M. Della Negra; David Jonathan Hofman; Stephen Sanders; Pushpalatha C Bhat; Daniel Gonzalez; Christopher West; Sandeep Bhowmik; Victor Golovtcov; G. B. Mohanty; E. Gurpinar Guler; Vyacheslav Klyukhin; Markus Seidel; Damir Devetak; Stephan Lammel; J. S. Lange; Paolo Ronchese; Paolo Ronchese; W. T. Hung; Stepan Obraztsov; Tommaso Dorigo; Dario Bisello; Dario Bisello; Raffaella Radogna; Milan Stojanovic; Quentin Python; Emanuela Barberis; J. R. González Fernández; Pedro Silva; Pedro G Mercadante; Grace Cummings; Marc Dejardin; Marta Verweij; P. Busson; Pascal Paganini; Willem Verbeke; Fabio Monti; Fabio Monti; Daniel Abercrombie; George Stephans; F. L. Fabbri; C. Baldenegro Barrera; P. E. Karchin; Matteo Cremonesi; James Wetzel; Jordan Martins; Marguerite Tonjes; D. Di Croce; L. J. Gutay; Jehad Mousa; Colin Bernet; W. Van Doninck; Kaya Tatar; Michael Dittmar; J. M. Grados Luyando; Hualin Mei; Marc Dobson; Maral Alyari; Paul Baillon; Nicholas Menendez; Yiwen Wen; Radek Zlebcik; A. Baden; Pietro Vischia; Mingshui Chen; Tilman Rohe; Haiyan Wang; Santiago Folgueras; P. Martinez Ruiz del Arbol; E. M. Da Costa; Altan Cakir; V. Monaco; K. H. M. Kwok; Christopher Hill; Gigi Rolandi; Basil Schneider; Alexander Ershov; Daniel Rosenzweig; Kyungwook Nam; Bruno Galinhas; James D. Olsen; Jamal Rorie; Prashant Shukla; Alicia Calderon; Candan Dozen; Marc Osherson; Eija Tuominen; Himal Acharya; Klaas Padeken; Davide Piccolo; Hugo Delannoy; Igor Lokhtin; Nadir Daci; Christophe Royon; Mauricio Thiel; W. De Boer; Cédric Prieels; A. Da Rold; C. A. Salazar González; Johannes Brandstetter; R. Loveless; Aleksandra Lelek; Frank Würthwein; Cristina Tuve; Inkyu Park; Didar Dobur; Elena Voevodina; Ivan Marchesini; Mariana Shopova; Y. Musienko; Bibhuprasad Mahakud; Jorma Tuominiemi; J. Duarte Campderros; Sumit Keshri; Ekaterina Kuznetsova; Pierluigi Zotto; Pierluigi Zotto; Salim Cerci; Fabrizio Palla; Zhen Hu; Daniel Winterbottom; Dinko Ferencek; Charles Maguire; Zoltan Gecse; Y. C. Yang; Graham Wilson; Andreas Albert; Ivan Mikulec; A. A. Bin Anuar; J. C. Freeman; Francesco Fiori; Frans Meijers; Patricia McBride; Raman Khurana; Joosep Pata; M. Bluj; D. Kim; Andreas Werner Jung; Gabriel Madigan; Attilio Santocchia; Yu. Andreev; Kristian Allan Hahn; M. Flechl; Rui Xiao; Igor Smirnov; Georg Steinbrück; Warren Clarida; Nathaniel Odell; G. Bagliesi; Silvano Tosi; Nicholas Smith; Tobias Pook; Thorsten Chwalek; Alexis Kalogeropoulos; Sourabh Dube; Ennio Monteil; Matthias Wolf; Caroline Collard; Dooyeon Gyun; I. Gonzalez Caballero; Aleko Khukhunaishvili; Yen-Jie Lee; Andrea Malara; Jane Nachtman; Magda Diamantopoulou; Janos Erö; Konstanty Sumorok; J. Suarez Gonzalez; Alessandra Fanfani; M. R. Adams; Z. Liu; Süleyman Durgut; Marek Walczak; Paolo Dini; Rainer Wallny; Michael Mulhearn; Charles C. Richardson; Igor Golutvin; Mircho Rodozov; Oleksii Toldaiev; Andreas Mussgiller; Marc Dünser; Maximilian Heindl; W. Ji; Sergei Gleyzer; Mayda Velasco; Gabriella Pasztor; Renato Potenza; A. Vorobyev; Stephen Robert Wagner;doi: 10.1016/j.physletb.2020.135409 , 10.3929/ethz-b-000409328 , 10.18154/rwth-2021-02348 , 10.5445/ir/1000118244 , 10.3204/pubdb-2020-01701 , 10.18154/rwth-2021-02305
handle: 11588/837510 , 11368/2961997 , 10281/275031 , 10486/704072 , 10679/9293 , 10067/1761620151162165141 , 10651/56803 , 11573/1718429 , 11568/1106026 , 20.500.14017/fe08831c-0b32-4e29-ab88-747a08733b3e , 11384/83156 , 11585/803078 , 20.500.11769/413392 , 2158/1210977 , 2318/1766345 , 10044/1/87584 , 11571/1486563
doi: 10.1016/j.physletb.2020.135409 , 10.3929/ethz-b-000409328 , 10.18154/rwth-2021-02348 , 10.5445/ir/1000118244 , 10.3204/pubdb-2020-01701 , 10.18154/rwth-2021-02305
handle: 11588/837510 , 11368/2961997 , 10281/275031 , 10486/704072 , 10679/9293 , 10067/1761620151162165141 , 10651/56803 , 11573/1718429 , 11568/1106026 , 20.500.14017/fe08831c-0b32-4e29-ab88-747a08733b3e , 11384/83156 , 11585/803078 , 20.500.11769/413392 , 2158/1210977 , 2318/1766345 , 10044/1/87584 , 11571/1486563
A study of the production of prompt J/ψ mesons contained in jets in proton-proton collisions at s=8TeV is presented. The analysis is based on data corresponding to an integrated luminosity of 19.1 fb−1 collected with the CMS detector at the LHC. For events with at least one observed jet, the angular separation between the J/ψ meson and the jet is used to test whether the J/ψ meson is part of the jet. The analysis shows that most prompt J/ψ mesons having energy above 15 GeV and rapidity |y|<1 are contained in jets with pseudorapidity |ηjet|<1. The differential distributions of the probability to have a J/ψ meson contained in a jet as a function of jet energy for a fixed J/ψ energy fraction are compared to a theoretical model using the fragmenting jet function approach. The data agree best with fragmenting jet function calculations that use a long-distance matrix element parameter set in which prompt J/ψ mesons are predicted to be unpolarized. This technique demonstrates a new way to test predictions for prompt J/ψ production using nonrelativistic quantum chromodynamics. Physics Letters B, 804 ISSN:0370-2693 ISSN:0031-9163 ISSN:1873-2445
Full-text Institutio... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2020License: CC BYData sources: Archivio della Ricerca - Università di PisaKITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2020Full-Text: https://arxiv.org/abs/1910.01686Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87584Data sources: Bielefeld Academic Search Engine (BASE)Belarusian State University: Electronic Library BSUArticle . 2020License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/288135Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/8k1587qnData sources: Bielefeld Academic Search Engine (BASE)Croatian Scientific Bibliography - CROSBIArticle . 2020Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTASpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2020License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoVrije Universiteit Brussel Research PortalArticle . 2020Data sources: Vrije Universiteit Brussel Research PortalPublikationsserver der RWTH Aachen UniversityPreprint . 2019Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2020Data sources: Publikationsserver der RWTH Aachen UniversityArchivio Istituzionale Università di BergamoArticle . 2020Data sources: Archivio Istituzionale Università di BergamoFlore (Florence Research Repository)Article . 2020Data sources: Flore (Florence Research Repository)IRIS - Università degli Studi di CataniaArticle . 2020Data sources: IRIS - Università degli Studi di CataniaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Full-text Institutio... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2020License: CC BYData sources: Archivio della Ricerca - Università di PisaKITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2020Full-Text: https://arxiv.org/abs/1910.01686Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87584Data sources: Bielefeld Academic Search Engine (BASE)Belarusian State University: Electronic Library BSUArticle . 2020License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/288135Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/8k1587qnData sources: Bielefeld Academic Search Engine (BASE)Croatian Scientific Bibliography - CROSBIArticle . 2020Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTASpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2020License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoVrije Universiteit Brussel Research PortalArticle . 2020Data sources: Vrije Universiteit Brussel Research PortalPublikationsserver der RWTH Aachen UniversityPreprint . 2019Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2020Data sources: Publikationsserver der RWTH Aachen UniversityArchivio Istituzionale Università di BergamoArticle . 2020Data sources: Archivio Istituzionale Università di BergamoFlore (Florence Research Repository)Article . 2020Data sources: Flore (Florence Research Repository)IRIS - Università degli Studi di CataniaArticle . 2020Data sources: IRIS - Università degli Studi di CataniaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Research , Report , Preprint , Journal 2020Embargo end date: 10 May 2020 United Kingdom, Spain, Italy, Croatia, United States, Italy, France, United Kingdom, Italy, Croatia, Italy, Croatia, Belgium, France, Turkey, Italy, Croatia, Germany, Italy, France, Italy, Germany, Belgium, Italy, Germany, Germany, Italy, Italy, United Kingdom, Belarus, Belarus, Belgium, Spain, Italy, France, United States, Switzerland, Italy, ItalyPublisher:Elsevier BV Funded by:DFG, EC | LHCTOPVLQ, EC | AMVA4NewPhysics +2 projectsDFG ,EC| LHCTOPVLQ ,EC| AMVA4NewPhysics ,EC| INSIGHTS ,GSRIAntonin Kveton; Marco Toliman Lucchini; Andromachi Tsirou; Luca Cadamuro; Jaana Kristiina Heikkilä; Dave M Newbold; David Saltzberg; Cécile Caillol; N. De Filippis; Petra Merkel; Jan Tomsa; M. Della Negra; David Jonathan Hofman; Stephen Sanders; Pushpalatha C Bhat; Daniel Gonzalez; Christopher West; Sandeep Bhowmik; Victor Golovtcov; G. B. Mohanty; E. Gurpinar Guler; Vyacheslav Klyukhin; Markus Seidel; Damir Devetak; Stephan Lammel; J. S. Lange; Paolo Ronchese; Paolo Ronchese; W. T. Hung; Stepan Obraztsov; Tommaso Dorigo; Dario Bisello; Dario Bisello; Raffaella Radogna; Milan Stojanovic; Quentin Python; Emanuela Barberis; J. R. González Fernández; Pedro Silva; Pedro G Mercadante; Grace Cummings; Marc Dejardin; Marta Verweij; P. Busson; Pascal Paganini; Willem Verbeke; Fabio Monti; Fabio Monti; Daniel Abercrombie; George Stephans; F. L. Fabbri; C. Baldenegro Barrera; P. E. Karchin; Matteo Cremonesi; James Wetzel; Jordan Martins; Marguerite Tonjes; D. Di Croce; L. J. Gutay; Jehad Mousa; Colin Bernet; W. Van Doninck; Kaya Tatar; Michael Dittmar; J. M. Grados Luyando; Hualin Mei; Marc Dobson; Maral Alyari; Paul Baillon; Nicholas Menendez; Yiwen Wen; Radek Zlebcik; A. Baden; Pietro Vischia; Mingshui Chen; Tilman Rohe; Haiyan Wang; Santiago Folgueras; P. Martinez Ruiz del Arbol; E. M. Da Costa; Altan Cakir; V. Monaco; K. H. M. Kwok; Christopher Hill; Gigi Rolandi; Basil Schneider; Alexander Ershov; Daniel Rosenzweig; Kyungwook Nam; Bruno Galinhas; James D. Olsen; Jamal Rorie; Prashant Shukla; Alicia Calderon; Candan Dozen; Marc Osherson; Eija Tuominen; Himal Acharya; Klaas Padeken; Davide Piccolo; Hugo Delannoy; Igor Lokhtin; Nadir Daci; Christophe Royon; Mauricio Thiel; W. De Boer; Cédric Prieels; A. Da Rold; C. A. Salazar González; Johannes Brandstetter; R. Loveless; Aleksandra Lelek; Frank Würthwein; Cristina Tuve; Inkyu Park; Didar Dobur; Elena Voevodina; Ivan Marchesini; Mariana Shopova; Y. Musienko; Bibhuprasad Mahakud; Jorma Tuominiemi; J. Duarte Campderros; Sumit Keshri; Ekaterina Kuznetsova; Pierluigi Zotto; Pierluigi Zotto; Salim Cerci; Fabrizio Palla; Zhen Hu; Daniel Winterbottom; Dinko Ferencek; Charles Maguire; Zoltan Gecse; Y. C. Yang; Graham Wilson; Andreas Albert; Ivan Mikulec; A. A. Bin Anuar; J. C. Freeman; Francesco Fiori; Frans Meijers; Patricia McBride; Raman Khurana; Joosep Pata; M. Bluj; D. Kim; Andreas Werner Jung; Gabriel Madigan; Attilio Santocchia; Yu. Andreev; Kristian Allan Hahn; M. Flechl; Rui Xiao; Igor Smirnov; Georg Steinbrück; Warren Clarida; Nathaniel Odell; G. Bagliesi; Silvano Tosi; Nicholas Smith; Tobias Pook; Thorsten Chwalek; Alexis Kalogeropoulos; Sourabh Dube; Ennio Monteil; Matthias Wolf; Caroline Collard; Dooyeon Gyun; I. Gonzalez Caballero; Aleko Khukhunaishvili; Yen-Jie Lee; Andrea Malara; Jane Nachtman; Magda Diamantopoulou; Janos Erö; Konstanty Sumorok; J. Suarez Gonzalez; Alessandra Fanfani; M. R. Adams; Z. Liu; Süleyman Durgut; Marek Walczak; Paolo Dini; Rainer Wallny; Michael Mulhearn; Charles C. Richardson; Igor Golutvin; Mircho Rodozov; Oleksii Toldaiev; Andreas Mussgiller; Marc Dünser; Maximilian Heindl; W. Ji; Sergei Gleyzer; Mayda Velasco; Gabriella Pasztor; Renato Potenza; A. Vorobyev; Stephen Robert Wagner;doi: 10.1016/j.physletb.2020.135409 , 10.3929/ethz-b-000409328 , 10.18154/rwth-2021-02348 , 10.5445/ir/1000118244 , 10.3204/pubdb-2020-01701 , 10.18154/rwth-2021-02305
handle: 11588/837510 , 11368/2961997 , 10281/275031 , 10486/704072 , 10679/9293 , 10067/1761620151162165141 , 10651/56803 , 11573/1718429 , 11568/1106026 , 20.500.14017/fe08831c-0b32-4e29-ab88-747a08733b3e , 11384/83156 , 11585/803078 , 20.500.11769/413392 , 2158/1210977 , 2318/1766345 , 10044/1/87584 , 11571/1486563
doi: 10.1016/j.physletb.2020.135409 , 10.3929/ethz-b-000409328 , 10.18154/rwth-2021-02348 , 10.5445/ir/1000118244 , 10.3204/pubdb-2020-01701 , 10.18154/rwth-2021-02305
handle: 11588/837510 , 11368/2961997 , 10281/275031 , 10486/704072 , 10679/9293 , 10067/1761620151162165141 , 10651/56803 , 11573/1718429 , 11568/1106026 , 20.500.14017/fe08831c-0b32-4e29-ab88-747a08733b3e , 11384/83156 , 11585/803078 , 20.500.11769/413392 , 2158/1210977 , 2318/1766345 , 10044/1/87584 , 11571/1486563
A study of the production of prompt J/ψ mesons contained in jets in proton-proton collisions at s=8TeV is presented. The analysis is based on data corresponding to an integrated luminosity of 19.1 fb−1 collected with the CMS detector at the LHC. For events with at least one observed jet, the angular separation between the J/ψ meson and the jet is used to test whether the J/ψ meson is part of the jet. The analysis shows that most prompt J/ψ mesons having energy above 15 GeV and rapidity |y|<1 are contained in jets with pseudorapidity |ηjet|<1. The differential distributions of the probability to have a J/ψ meson contained in a jet as a function of jet energy for a fixed J/ψ energy fraction are compared to a theoretical model using the fragmenting jet function approach. The data agree best with fragmenting jet function calculations that use a long-distance matrix element parameter set in which prompt J/ψ mesons are predicted to be unpolarized. This technique demonstrates a new way to test predictions for prompt J/ψ production using nonrelativistic quantum chromodynamics. Physics Letters B, 804 ISSN:0370-2693 ISSN:0031-9163 ISSN:1873-2445
Full-text Institutio... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2020License: CC BYData sources: Archivio della Ricerca - Università di PisaKITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2020Full-Text: https://arxiv.org/abs/1910.01686Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87584Data sources: Bielefeld Academic Search Engine (BASE)Belarusian State University: Electronic Library BSUArticle . 2020License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/288135Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/8k1587qnData sources: Bielefeld Academic Search Engine (BASE)Croatian Scientific Bibliography - CROSBIArticle . 2020Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTASpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2020License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoVrije Universiteit Brussel Research PortalArticle . 2020Data sources: Vrije Universiteit Brussel Research PortalPublikationsserver der RWTH Aachen UniversityPreprint . 2019Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2020Data sources: Publikationsserver der RWTH Aachen UniversityArchivio Istituzionale Università di BergamoArticle . 2020Data sources: Archivio Istituzionale Università di BergamoFlore (Florence Research Repository)Article . 2020Data sources: Flore (Florence Research Repository)IRIS - Università degli Studi di CataniaArticle . 2020Data sources: IRIS - Università degli Studi di CataniaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Full-text Institutio... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2020License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2020License: CC BYData sources: Archivio della Ricerca - Università di PisaKITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2020Full-Text: https://arxiv.org/abs/1910.01686Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87584Data sources: Bielefeld Academic Search Engine (BASE)Belarusian State University: Electronic Library BSUArticle . 2020License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/288135Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/8k1587qnData sources: Bielefeld Academic Search Engine (BASE)Croatian Scientific Bibliography - CROSBIArticle . 2020Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTASpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2020License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoVrije Universiteit Brussel Research PortalArticle . 2020Data sources: Vrije Universiteit Brussel Research PortalPublikationsserver der RWTH Aachen UniversityPreprint . 2019Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2020Data sources: Publikationsserver der RWTH Aachen UniversityArchivio Istituzionale Università di BergamoArticle . 2020Data sources: Archivio Istituzionale Università di BergamoFlore (Florence Research Repository)Article . 2020Data sources: Flore (Florence Research Repository)IRIS - Università degli Studi di CataniaArticle . 2020Data sources: IRIS - Università degli Studi di CataniaeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020 United KingdomPublisher:Public Library of Science (PLoS) Funded by:UKRI | HUMAN-AGENT COLLECTIVES: ..., UKRI | Intelligent Agents for Ho...UKRI| HUMAN-AGENT COLLECTIVES: FROM FOUNDATIONS TO APPLICATIONS [ORCHID] ,UKRI| Intelligent Agents for Home Energy ManagementSasan Maleki; Talal Rahwan; Siddhartha Ghosh; Areej Malibari; Daniyal Alghazzawi; Alex Rogers; Hamid Beigy; Nicholas R. Jennings;We consider a demand response program in which a block of apartments receive a discount from their electricity supplier if they ensure that their aggregate load from air conditioning does not exceed a predetermined threshold. The goal of the participants is to obtain the discount, while ensuring that their individual temperature preferences are also satisfied. As such, the apartments need to collectively optimise their use of air conditioning so as to satisfy these constraints and minimise their costs. Given an optimal cooling profile that secures the discount, the problem that the apartments face then is to divide the total discounted cost in a fair way. To achieve this, we take a coalitional game approach and propose the use of the Shapley value from cooperative game theory, which is the normative payoff division mechanism that offers a unique set of desirable fairness properties. However, applying the Shapley value in this setting presents a novel computational challenge. This is because its calculation requires, as input, the cost of every subset of apartments, which means solving an exponential number of collective optimisations, each of which is a computationally intensive problem. To address this, we propose solving the optimisation problem of each subset suboptimally, to allow for acceptable solutions that require less computation. We show that, due to the linearity property of the Shapley value, if suboptimal costs are used rather than optimal ones, the division of the discount will be fair in the following sense: each apartment is fairly "rewarded" for its contribution to the optimal cost and, at the same time, is fairly "penalised" for its contribution to the discrepancy between the suboptimal and the optimal costs. Importantly, this is achieved without requiring the optimal solutions.
Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10044/1/76403Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryOxford University Research ArchiveArticle . 2019License: CC BYData sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 15 citations 15 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10044/1/76403Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryOxford University Research ArchiveArticle . 2019License: CC BYData sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0227049&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020 United KingdomPublisher:Public Library of Science (PLoS) Funded by:UKRI | HUMAN-AGENT COLLECTIVES: ..., UKRI | Intelligent Agents for Ho...UKRI| HUMAN-AGENT COLLECTIVES: FROM FOUNDATIONS TO APPLICATIONS [ORCHID] ,UKRI| Intelligent Agents for Home Energy ManagementSasan Maleki; Talal Rahwan; Siddhartha Ghosh; Areej Malibari; Daniyal Alghazzawi; Alex Rogers; Hamid Beigy; Nicholas R. Jennings;We consider a demand response program in which a block of apartments receive a discount from their electricity supplier if they ensure that their aggregate load from air conditioning does not exceed a predetermined threshold. The goal of the participants is to obtain the discount, while ensuring that their individual temperature preferences are also satisfied. As such, the apartments need to collectively optimise their use of air conditioning so as to satisfy these constraints and minimise their costs. Given an optimal cooling profile that secures the discount, the problem that the apartments face then is to divide the total discounted cost in a fair way. To achieve this, we take a coalitional game approach and propose the use of the Shapley value from cooperative game theory, which is the normative payoff division mechanism that offers a unique set of desirable fairness properties. However, applying the Shapley value in this setting presents a novel computational challenge. This is because its calculation requires, as input, the cost of every subset of apartments, which means solving an exponential number of collective optimisations, each of which is a computationally intensive problem. To address this, we propose solving the optimisation problem of each subset suboptimally, to allow for acceptable solutions that require less computation. We show that, due to the linearity property of the Shapley value, if suboptimal costs are used rather than optimal ones, the division of the discount will be fair in the following sense: each apartment is fairly "rewarded" for its contribution to the optimal cost and, at the same time, is fairly "penalised" for its contribution to the discrepancy between the suboptimal and the optimal costs. Importantly, this is achieved without requiring the optimal solutions.
Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10044/1/76403Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryOxford University Research ArchiveArticle . 2019License: CC BYData sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0227049&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 15 citations 15 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Imperial College Lon... arrow_drop_down Imperial College London: SpiralArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10044/1/76403Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryOxford University Research ArchiveArticle . 2019License: CC BYData sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0227049&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023Embargo end date: 28 May 2024 Australia, France, Spain, Italy, United Kingdom, United Kingdom, SpainPublisher:American Chemical Society (ACS) Funded by:UKRI | Understanding and Improvi..., UKRI | Supergen Storage Network ...UKRI| Understanding and Improving Electrochemical Carbon Dioxide Capture ,UKRI| Supergen Storage Network Plus 2019Gittins, Jamie; Chen, Yuan; Arnold, Stefanie; Augustyn, Veronica; Balducci, Andrea; Brousse, Thierry; Frackowiak, Elzbieta; Gómez-Romero, Pedro; Kanwade, Archana; Köps, Lukas; Jha, Plawan Kumar; Lyu, Dongxun; Meo, Michele; Pandey, Deepak; Pang, Le; Presser, Volker; Rapisarda, Mario; Rueda-García, Daniel; Saeed, Saeed; Shirage, Parasharam; Ślesiński, Adam; Soavi, Francesca; Thomas, Jayan; Titirici, Maria-Magdalena; Wang, Hongxia; Xu, Zhen; Yu, Aiping; Zhang, Maiwen; Forse, Alexander;Supercapacitors are fast-charging energy storage devices of great importance for developing robust and climate-friendly energy infrastructures for the future. Research in this field has seen rapid growth in recent years. Therefore, consistent reporting practices must be implemented to enable reliable comparison of device performance. Although several studies have highlighted the best practices for analysing and reporting data from such energy storage devices, there is yet to be an empirical study investigating whether researchers in the field are correctly implementing these recommendations, and which assesses the variation in reporting between different laboratories. Here, we address this deficit by carrying out the first interlaboratory study of the analysis of supercapacitor electrochemistry data. We find that the use of incorrect formulae and researchers having different interpretations of key terminologies are the primary causes of variability in data reporting. Furthermore, we highlight the more significant variation in reported results for electrochemical profiles showing non-ideal capacitive behaviour. From the insights gained through this study, we make additional recommendations to the community to help ensure consistent reporting of performance metrics moving forward.
Archivio istituziona... arrow_drop_down https://doi.org/10.26434/chemr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2023 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2023License: CC BYData sources: Diposit Digital de Documents de la UABUniversité de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)The University of Manchester - Institutional RepositoryArticle . 2023Data sources: The University of Manchester - Institutional RepositoryQueensland University of Technology: QUT ePrintsArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Université de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.26434/chemrxiv-2023-fjllf-v2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Archivio istituziona... arrow_drop_down https://doi.org/10.26434/chemr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2023 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2023License: CC BYData sources: Diposit Digital de Documents de la UABUniversité de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)The University of Manchester - Institutional RepositoryArticle . 2023Data sources: The University of Manchester - Institutional RepositoryQueensland University of Technology: QUT ePrintsArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Université de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.26434/chemrxiv-2023-fjllf-v2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023Embargo end date: 28 May 2024 Australia, France, Spain, Italy, United Kingdom, United Kingdom, SpainPublisher:American Chemical Society (ACS) Funded by:UKRI | Understanding and Improvi..., UKRI | Supergen Storage Network ...UKRI| Understanding and Improving Electrochemical Carbon Dioxide Capture ,UKRI| Supergen Storage Network Plus 2019Gittins, Jamie; Chen, Yuan; Arnold, Stefanie; Augustyn, Veronica; Balducci, Andrea; Brousse, Thierry; Frackowiak, Elzbieta; Gómez-Romero, Pedro; Kanwade, Archana; Köps, Lukas; Jha, Plawan Kumar; Lyu, Dongxun; Meo, Michele; Pandey, Deepak; Pang, Le; Presser, Volker; Rapisarda, Mario; Rueda-García, Daniel; Saeed, Saeed; Shirage, Parasharam; Ślesiński, Adam; Soavi, Francesca; Thomas, Jayan; Titirici, Maria-Magdalena; Wang, Hongxia; Xu, Zhen; Yu, Aiping; Zhang, Maiwen; Forse, Alexander;Supercapacitors are fast-charging energy storage devices of great importance for developing robust and climate-friendly energy infrastructures for the future. Research in this field has seen rapid growth in recent years. Therefore, consistent reporting practices must be implemented to enable reliable comparison of device performance. Although several studies have highlighted the best practices for analysing and reporting data from such energy storage devices, there is yet to be an empirical study investigating whether researchers in the field are correctly implementing these recommendations, and which assesses the variation in reporting between different laboratories. Here, we address this deficit by carrying out the first interlaboratory study of the analysis of supercapacitor electrochemistry data. We find that the use of incorrect formulae and researchers having different interpretations of key terminologies are the primary causes of variability in data reporting. Furthermore, we highlight the more significant variation in reported results for electrochemical profiles showing non-ideal capacitive behaviour. From the insights gained through this study, we make additional recommendations to the community to help ensure consistent reporting of performance metrics moving forward.
Archivio istituziona... arrow_drop_down https://doi.org/10.26434/chemr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2023 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2023License: CC BYData sources: Diposit Digital de Documents de la UABUniversité de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)The University of Manchester - Institutional RepositoryArticle . 2023Data sources: The University of Manchester - Institutional RepositoryQueensland University of Technology: QUT ePrintsArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Université de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.26434/chemrxiv-2023-fjllf-v2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Archivio istituziona... arrow_drop_down https://doi.org/10.26434/chemr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2023 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2023License: CC BYData sources: Diposit Digital de Documents de la UABUniversité de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)The University of Manchester - Institutional RepositoryArticle . 2023Data sources: The University of Manchester - Institutional RepositoryQueensland University of Technology: QUT ePrintsArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Université de Nantes: HAL-UNIV-NANTESArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.26434/chemrxiv-2023-fjllf-v2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 United KingdomPublisher:Institute of Electrical and Electronics Engineers (IEEE) Authors: Sepideh Nazemi; Kin K. Leung; Ananthram Swami;handle: 10044/1/74634
In-Network Processing (INP) is an effective way to aggregate and process data from different sources and forward the aggregated data to other nodes for further processing until it reaches the end user. There is a trade-off between energy consumption for processing data and communication energy spent on transferring the data. An essential requirement in the INP process is to ensure that the user expectation of quality of information (QoI) is delivered during the process. Using wireless sensor networks for illustration and with the aim of minimizing the total energy consumption of the system, we study and formulate the trade-off problem as a nonlinear optimization problem where the goal is to determine the optimal data reduction rate, while satisfying the QoI required by the user. The formulated problem is a Signomial Programming (SP) problem, which is a non-convex optimization problem. We propose two solution frameworks. First, we introduce an equivalent problem which is still SP and non-convex as the original one, but we prove that the strong duality property holds, and propose an efficient distributed algorithm to obtain the optimal data reduction rates, while delivering the required QoI. The second framework applies to the system with identical nodes and parameter settings. In such cases, we prove that the complexity of the problem can be reduced logarithmically. We evaluate our proposed frameworks under different parameter settings and illustrate the validity and performance of the proposed techniques through extensive simulation.
IEEE/ACM Transaction... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryIEEE/ACM Transactions on NetworkingArticle . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tnet.2019.2953581&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert IEEE/ACM Transaction... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryIEEE/ACM Transactions on NetworkingArticle . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tnet.2019.2953581&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 United KingdomPublisher:Institute of Electrical and Electronics Engineers (IEEE) Authors: Sepideh Nazemi; Kin K. Leung; Ananthram Swami;handle: 10044/1/74634
In-Network Processing (INP) is an effective way to aggregate and process data from different sources and forward the aggregated data to other nodes for further processing until it reaches the end user. There is a trade-off between energy consumption for processing data and communication energy spent on transferring the data. An essential requirement in the INP process is to ensure that the user expectation of quality of information (QoI) is delivered during the process. Using wireless sensor networks for illustration and with the aim of minimizing the total energy consumption of the system, we study and formulate the trade-off problem as a nonlinear optimization problem where the goal is to determine the optimal data reduction rate, while satisfying the QoI required by the user. The formulated problem is a Signomial Programming (SP) problem, which is a non-convex optimization problem. We propose two solution frameworks. First, we introduce an equivalent problem which is still SP and non-convex as the original one, but we prove that the strong duality property holds, and propose an efficient distributed algorithm to obtain the optimal data reduction rates, while delivering the required QoI. The second framework applies to the system with identical nodes and parameter settings. In such cases, we prove that the complexity of the problem can be reduced logarithmically. We evaluate our proposed frameworks under different parameter settings and illustrate the validity and performance of the proposed techniques through extensive simulation.
IEEE/ACM Transaction... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryIEEE/ACM Transactions on NetworkingArticle . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tnet.2019.2953581&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert IEEE/ACM Transaction... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2019Data sources: Spiral - Imperial College Digital RepositoryIEEE/ACM Transactions on NetworkingArticle . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tnet.2019.2953581&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021Publisher:Springer Science and Business Media LLC Mark Howells; Jairo Quirós‐Tortós; Robbie Morrison; Holger Rogner; Taco Niet; Luca Petrarulo; Will Usher; William Blyth; Guido Godínez; Luis F. Victor; Jam Angulo; Franziska Bock; Eduardo Teneda Ramos; Francesco Gardumi; Ludwig Hülk; Patrick Van-Hove; Estathios Peteves; Felipe De León; Andrea Meza; Thomas Alfstad; Constantinos Taliotis; George Partasides; Nicolina Lindblad; Benjamin U. Stewart; Ashish Shrestha; Dana Rysankova; Adrien Vogt‐Schilb; Chris Bataille; Henri Waisman; Asami Miketa; Pablo Carvajal; Daniel Russo; Morgan Bazilian; Andrii Gritsevskyi; Mario Tot; Adrian M. Tompkins;Abstract Energy modelling is the process of using mathematical models to develop abstractions and then seek insights into future energy systems. It can be an abstract academic activity. Or, it can insert threads that influence our development. We argue therefore, that energy modelling that provides policy support (EMoPS) should not only be grounded in rigorous analytics, but also in good governance principles. As, together with other policy actions, it should be accountable. Almost all aspects of society and much of its impact on the environment are influenced by our use of energy. In this context, EMoPS can inspire, motivate, calibrate, and ‘post assess’ energy policy. But, such modeling is often undertaken by too few analysts under time and resource pressure. Building on the advances of ‘class leaders’, we propose that EMoPS should reach for practical goals — including engagement and accountability with the communities it involves, and those it will later affect. (We use the term Ubuntu, meaning ‘I am because you are’ to capture this interdependency). We argue that Ubuntu, together with retrievability, repeatability, reconstructability, interoperability and auditability (U4RIA) of EMoPS should be used to signal the beginnings of a new default practice. We demonstrate how the U4RIA principles can contribute in practice using recent modelling of aspirational energy futures by Costa Rica as a case study. This modelling effort includes community involvement and interfaces and integrates stakeholder involvement. It leaves a trail that allows for its auditing and accountability, while building capacity and sustainable institutional memory.
https://doi.org/10.2... arrow_drop_down https://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21203/rs.3.rs-311311/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 19 citations 19 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert https://doi.org/10.2... arrow_drop_down https://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21203/rs.3.rs-311311/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021Publisher:Springer Science and Business Media LLC Mark Howells; Jairo Quirós‐Tortós; Robbie Morrison; Holger Rogner; Taco Niet; Luca Petrarulo; Will Usher; William Blyth; Guido Godínez; Luis F. Victor; Jam Angulo; Franziska Bock; Eduardo Teneda Ramos; Francesco Gardumi; Ludwig Hülk; Patrick Van-Hove; Estathios Peteves; Felipe De León; Andrea Meza; Thomas Alfstad; Constantinos Taliotis; George Partasides; Nicolina Lindblad; Benjamin U. Stewart; Ashish Shrestha; Dana Rysankova; Adrien Vogt‐Schilb; Chris Bataille; Henri Waisman; Asami Miketa; Pablo Carvajal; Daniel Russo; Morgan Bazilian; Andrii Gritsevskyi; Mario Tot; Adrian M. Tompkins;Abstract Energy modelling is the process of using mathematical models to develop abstractions and then seek insights into future energy systems. It can be an abstract academic activity. Or, it can insert threads that influence our development. We argue therefore, that energy modelling that provides policy support (EMoPS) should not only be grounded in rigorous analytics, but also in good governance principles. As, together with other policy actions, it should be accountable. Almost all aspects of society and much of its impact on the environment are influenced by our use of energy. In this context, EMoPS can inspire, motivate, calibrate, and ‘post assess’ energy policy. But, such modeling is often undertaken by too few analysts under time and resource pressure. Building on the advances of ‘class leaders’, we propose that EMoPS should reach for practical goals — including engagement and accountability with the communities it involves, and those it will later affect. (We use the term Ubuntu, meaning ‘I am because you are’ to capture this interdependency). We argue that Ubuntu, together with retrievability, repeatability, reconstructability, interoperability and auditability (U4RIA) of EMoPS should be used to signal the beginnings of a new default practice. We demonstrate how the U4RIA principles can contribute in practice using recent modelling of aspirational energy futures by Costa Rica as a case study. This modelling effort includes community involvement and interfaces and integrates stakeholder involvement. It leaves a trail that allows for its auditing and accountability, while building capacity and sustainable institutional memory.
https://doi.org/10.2... arrow_drop_down https://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21203/rs.3.rs-311311/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 19 citations 19 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert https://doi.org/10.2... arrow_drop_down https://doi.org/10.21203/rs.3....Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21203/rs.3.rs-311311/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 United KingdomPublisher:Regional Energy Resources Information Center Vallejo, L; Mazur, C; Strapasson, A; Cockerill, T; Gambhir, A; Hills, T; Jennings, M; Jones, O; Kalas, N; Keirstead, J; Khor, C; Napp, T; Tong, D; Woods, J; Shah, N;handle: 10044/1/86376
This study provides a whole-systems simulation on how to halve global CO2 emissions by 2050, compared to 2010, with an emphasis on technologies and costs, in order to avoid a dangerous increase in the global mean surface temperature by end the of this century. There still remains uncertainty as to how much a low-carbon energy system costs compared to a high-carbon system. Integrated assessment models (IAMs) show a large range of costs of mitigation towards the 2°C target, with up to an order of magnitude difference between the highest and lowest cost, depending on a number of factors including model structure, technology availability and costs, and the degree of feedback with the wider macro-economy. A simpler analysis potentially serves to highlight where costs fall and to what degree. Here we show that the additional cost of a low-carbon energy system is less than 1% of global GDP more than a system resulting from low mitigation effort. The proposed approach aligns with some previous IAMs and other projections discussed in the paper, whilst also providing a clearer and more detailed view of the world. Achieving this system by 2050, with CO2 emissions of about 15GtCO2, depends heavily on decarbonisation of the electricity sector to around 100gCO2/kWh, as well as on maximising energy efficiency potential across all sectors. This scenario would require a major mitigation effort in all the assessed world regions. However, in order to keep the global mean surface temperature increase below 1.5°C, it would be necessary to achieve net-zero emission by 2050, requiring a much further mitigation effort.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::813606c98bdb3855b82d597ff3b21cda&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::813606c98bdb3855b82d597ff3b21cda&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 United KingdomPublisher:Regional Energy Resources Information Center Vallejo, L; Mazur, C; Strapasson, A; Cockerill, T; Gambhir, A; Hills, T; Jennings, M; Jones, O; Kalas, N; Keirstead, J; Khor, C; Napp, T; Tong, D; Woods, J; Shah, N;handle: 10044/1/86376
This study provides a whole-systems simulation on how to halve global CO2 emissions by 2050, compared to 2010, with an emphasis on technologies and costs, in order to avoid a dangerous increase in the global mean surface temperature by end the of this century. There still remains uncertainty as to how much a low-carbon energy system costs compared to a high-carbon system. Integrated assessment models (IAMs) show a large range of costs of mitigation towards the 2°C target, with up to an order of magnitude difference between the highest and lowest cost, depending on a number of factors including model structure, technology availability and costs, and the degree of feedback with the wider macro-economy. A simpler analysis potentially serves to highlight where costs fall and to what degree. Here we show that the additional cost of a low-carbon energy system is less than 1% of global GDP more than a system resulting from low mitigation effort. The proposed approach aligns with some previous IAMs and other projections discussed in the paper, whilst also providing a clearer and more detailed view of the world. Achieving this system by 2050, with CO2 emissions of about 15GtCO2, depends heavily on decarbonisation of the electricity sector to around 100gCO2/kWh, as well as on maximising energy efficiency potential across all sectors. This scenario would require a major mitigation effort in all the assessed world regions. However, in order to keep the global mean surface temperature increase below 1.5°C, it would be necessary to achieve net-zero emission by 2050, requiring a much further mitigation effort.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::813606c98bdb3855b82d597ff3b21cda&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::813606c98bdb3855b82d597ff3b21cda&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United KingdomPublisher:MDPI AG Weilin Zeng; Xujiang Wang; Kai Hong Luo; Konstantina Vogiatzaki; Salvador Navarro-Martinez;In this study, the generality and prediction accuracy of a generalised series model for the large eddy simulation of premixed and non-premixed turbulent combustion is explored. The model is based on the Taylor series expansion of the chemical source term in scalar space and implemented into OpenFOAM. The mathematical model does not depend on combustion regimes and has the correct limiting behaviour. The numerical error sources are also outlined and analysed. The model is first applied to a piloted methane/air non-premixed jet flame (Sandia Flame D). The statistical (time-averaged and RMS) results agree well with the experimental measurements, particularly with regard to the mixture fraction, velocity, temperature, and concentrations of major species CH4, CO2, H2O, and O2. However, the concentrations of the intermediates CO and H2 are over-predicted, due to the limitations of the reduced reaction mechanism employed. Then, a Bunsen-piloted flame is simulated. Most of the statistical properties of both the reactive species and progress variables are well reproduced. The only major discrepancy evident is in the temperature, which is probably attributed to the experimental uncertainties of temperature fields in the pilot stream. These findings demonstrate the model’s generality for both a premixed and non-premixed combustion simulation, as well as the accuracy of prediction of reactive species distribution.
Energies arrow_drop_down https://doi.org/10.20944/prepr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en17010252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Energies arrow_drop_down https://doi.org/10.20944/prepr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en17010252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United KingdomPublisher:MDPI AG Weilin Zeng; Xujiang Wang; Kai Hong Luo; Konstantina Vogiatzaki; Salvador Navarro-Martinez;In this study, the generality and prediction accuracy of a generalised series model for the large eddy simulation of premixed and non-premixed turbulent combustion is explored. The model is based on the Taylor series expansion of the chemical source term in scalar space and implemented into OpenFOAM. The mathematical model does not depend on combustion regimes and has the correct limiting behaviour. The numerical error sources are also outlined and analysed. The model is first applied to a piloted methane/air non-premixed jet flame (Sandia Flame D). The statistical (time-averaged and RMS) results agree well with the experimental measurements, particularly with regard to the mixture fraction, velocity, temperature, and concentrations of major species CH4, CO2, H2O, and O2. However, the concentrations of the intermediates CO and H2 are over-predicted, due to the limitations of the reduced reaction mechanism employed. Then, a Bunsen-piloted flame is simulated. Most of the statistical properties of both the reactive species and progress variables are well reproduced. The only major discrepancy evident is in the temperature, which is probably attributed to the experimental uncertainties of temperature fields in the pilot stream. These findings demonstrate the model’s generality for both a premixed and non-premixed combustion simulation, as well as the accuracy of prediction of reactive species distribution.
Energies arrow_drop_down https://doi.org/10.20944/prepr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en17010252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Energies arrow_drop_down https://doi.org/10.20944/prepr...Article . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en17010252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2020 United KingdomPublisher:Emerald Funded by:UKRI | Realising Transition Path..., UKRI | Transition pathways to a ...UKRI| Realising Transition Pathways - Whole Systems Analysis for a UK More Electric Low Carbon Energy Future ,UKRI| Transition pathways to a low carbon economyAuthors: Timothy J. Foxon; Geoffrey P. Hammond; Peter J. G. Pearson;A large interdisciplinary consortium of engineers, social scientists and policy analysts has developed three low-emissions, more-electric transition pathways for the UK. The approach is based on earlier work on understanding transitions, applying a multi-level perspective with landscape, regime and niche levels to the development of socio-technical scenarios. The pathways to 2050 focus on the power sector, including the potential for increasing the use of low-emissions electricity for heating and transport. Part 1 described studies of historical energy and infrastructure transitions that help to understand the dynamics and timing of past transitions. The role of large-scale and small-scale actors in the electricity sector and methods used to develop the pathways were also described. In part 2, associated technologies are evaluated to determine the choices that need to be made by UK energy policymakers and stakeholders. All three pathways are appraised in terms of their environmental performance using complementary life-cycle assessment and footprinting methods. Lessons can clearly be drawn for other industrialised nations attempting to reduce the emissions of their electricity generation systems, although local circumstances will determine country- and region-specific options.
CORE arrow_drop_down COREArticle . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORE (RIOXX-UK Aggregator)University of Bath's research portalArticle . 2020Data sources: University of Bath's research portalProceedings of the Institution of Civil Engineers - EnergyArticle . 2020 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1680/jener.19.00076&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert CORE arrow_drop_down COREArticle . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORE (RIOXX-UK Aggregator)University of Bath's research portalArticle . 2020Data sources: University of Bath's research portalProceedings of the Institution of Civil Engineers - EnergyArticle . 2020 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1680/jener.19.00076&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2020 United KingdomPublisher:Emerald Funded by:UKRI | Realising Transition Path..., UKRI | Transition pathways to a ...UKRI| Realising Transition Pathways - Whole Systems Analysis for a UK More Electric Low Carbon Energy Future ,UKRI| Transition pathways to a low carbon economyAuthors: Timothy J. Foxon; Geoffrey P. Hammond; Peter J. G. Pearson;A large interdisciplinary consortium of engineers, social scientists and policy analysts has developed three low-emissions, more-electric transition pathways for the UK. The approach is based on earlier work on understanding transitions, applying a multi-level perspective with landscape, regime and niche levels to the development of socio-technical scenarios. The pathways to 2050 focus on the power sector, including the potential for increasing the use of low-emissions electricity for heating and transport. Part 1 described studies of historical energy and infrastructure transitions that help to understand the dynamics and timing of past transitions. The role of large-scale and small-scale actors in the electricity sector and methods used to develop the pathways were also described. In part 2, associated technologies are evaluated to determine the choices that need to be made by UK energy policymakers and stakeholders. All three pathways are appraised in terms of their environmental performance using complementary life-cycle assessment and footprinting methods. Lessons can clearly be drawn for other industrialised nations attempting to reduce the emissions of their electricity generation systems, although local circumstances will determine country- and region-specific options.
CORE arrow_drop_down COREArticle . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORE (RIOXX-UK Aggregator)University of Bath's research portalArticle . 2020Data sources: University of Bath's research portalProceedings of the Institution of Civil Engineers - EnergyArticle . 2020 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1680/jener.19.00076&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert CORE arrow_drop_down COREArticle . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2020Full-Text: http://sro.sussex.ac.uk/id/eprint/93022/4/Foxon_Hammond_Pearson_STTP_Part2_ener_GreenOA_2020.pdfData sources: CORE (RIOXX-UK Aggregator)University of Bath's research portalArticle . 2020Data sources: University of Bath's research portalProceedings of the Institution of Civil Engineers - EnergyArticle . 2020 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1680/jener.19.00076&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 United KingdomPublisher:American Chemical Society (ACS) Funded by:UKRI | Application Targeted and ..., EC | CAPaCITy, UKRI | Stability of Organic Sola...UKRI| Application Targeted and Integrated Photovoltaics - Enhancing UK Capability in Solar ,EC| CAPaCITy ,UKRI| Stability of Organic Solar Cells based on Non-Fullerene AcceptorsHou, Xueyan; Coker, Jack F.; Yan, Jun; Shi, Xingyuan; Azzouzi, Mohammed; Eisner, Flurin D.; McGettrick, James D.; Tuladhar, Sachetan M.; Abrahams, Isaac; Frost, Jarvist M.; Li, Zhe; Dennis, T. John S.; Nelson, Jenny;Higher adducts of a fullerene, such as the bis-adduct of PCBM (bis-PCBM), can be used to achieve shallower molecular orbital energy levels than, for example, PCBM or C60. Substituting the bis-adduct for the parent fullerene is useful to increase the open-circuit voltage of organic solar cells or achieve better energy alignment as electron transport layers in, for example, perovskite solar cells. However, bis-PCBM is usually synthesized as a mixture of structural isomers, which can lead to both energetic and morphological disorder, negatively affecting device performance. Here, we present a comprehensive study on the molecular properties of 19 pure bis-isomers of PCBM using a variety of characterization methods, including ultraviolet photoelectron spectroscopy, thermal gravimetric analysis, differential scanning calorimetry, single crystal structure, and (time-dependent) density functional theory calculation. We find that the lowest unoccupied molecular orbital of such bis-isomers can be tuned to be up to 170 meV shallower than PCBM and up to 100 meV shallower than the mixture of unseparated isomers. The isolated bis-isomers also show an electron mobility in organic field-effect transistors of up to 4.5 × 10-2 cm2/(V s), which is an order of magnitude higher than that of the mixture of bis-isomers. These properties enable the fabrication of the highest performing bis-PCBM organic solar cell to date, with the best device showing a power conversion efficiency of 7.2%. Interestingly, we find that the crystallinity of bis-isomers correlates negatively with electron mobility and organic solar cell device performance, which we relate to their molecular symmetry, with a lower symmetry leading to more amorphous bis-isomers, less energetic disorder, and higher dimensional electron transport. This work demonstrates the potential of side chain engineering for optimizing the performance of fullerene-based organic electronic devices.
Chemistry of Materia... arrow_drop_down Queen Mary University of London: Queen Mary Research Online (QMRO)Article . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acs.chemmater.3c02353&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!
more_vert Chemistry of Materia... arrow_drop_down Queen Mary University of London: Queen Mary Research Online (QMRO)Article . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acs.chemmater.3c02353&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 United KingdomPublisher:American Chemical Society (ACS) Funded by:UKRI | Application Targeted and ..., EC | CAPaCITy, UKRI | Stability of Organic Sola...UKRI| Application Targeted and Integrated Photovoltaics - Enhancing UK Capability in Solar ,EC| CAPaCITy ,UKRI| Stability of Organic Solar Cells based on Non-Fullerene AcceptorsHou, Xueyan; Coker, Jack F.; Yan, Jun; Shi, Xingyuan; Azzouzi, Mohammed; Eisner, Flurin D.; McGettrick, James D.; Tuladhar, Sachetan M.; Abrahams, Isaac; Frost, Jarvist M.; Li, Zhe; Dennis, T. John S.; Nelson, Jenny;Higher adducts of a fullerene, such as the bis-adduct of PCBM (bis-PCBM), can be used to achieve shallower molecular orbital energy levels than, for example, PCBM or C60. Substituting the bis-adduct for the parent fullerene is useful to increase the open-circuit voltage of organic solar cells or achieve better energy alignment as electron transport layers in, for example, perovskite solar cells. However, bis-PCBM is usually synthesized as a mixture of structural isomers, which can lead to both energetic and morphological disorder, negatively affecting device performance. Here, we present a comprehensive study on the molecular properties of 19 pure bis-isomers of PCBM using a variety of characterization methods, including ultraviolet photoelectron spectroscopy, thermal gravimetric analysis, differential scanning calorimetry, single crystal structure, and (time-dependent) density functional theory calculation. We find that the lowest unoccupied molecular orbital of such bis-isomers can be tuned to be up to 170 meV shallower than PCBM and up to 100 meV shallower than the mixture of unseparated isomers. The isolated bis-isomers also show an electron mobility in organic field-effect transistors of up to 4.5 × 10-2 cm2/(V s), which is an order of magnitude higher than that of the mixture of bis-isomers. These properties enable the fabrication of the highest performing bis-PCBM organic solar cell to date, with the best device showing a power conversion efficiency of 7.2%. Interestingly, we find that the crystallinity of bis-isomers correlates negatively with electron mobility and organic solar cell device performance, which we relate to their molecular symmetry, with a lower symmetry leading to more amorphous bis-isomers, less energetic disorder, and higher dimensional electron transport. This work demonstrates the potential of side chain engineering for optimizing the performance of fullerene-based organic electronic devices.
Chemistry of Materia... arrow_drop_down Queen Mary University of London: Queen Mary Research Online (QMRO)Article . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acs.chemmater.3c02353&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!
more_vert Chemistry of Materia... arrow_drop_down Queen Mary University of London: Queen Mary Research Online (QMRO)Article . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acs.chemmater.3c02353&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu