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description Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type 2017Publisher:Springer Science and Business Media LLC Funded by:ANR | VIRGOANR| VIRGOAuthors:
Mathias, Jean-Denis; Anderies, J.M.; Janssen, M.A.;Mathias, Jean-Denis
Mathias, Jean-Denis in OpenAIREAbstractThe planetary boundary framework constitutes an opportunity for decision makers to define climate policy through the lens of adaptive governance. Here, we use the DICE model to analyze the set of adaptive climate policies that comply with the two planetary boundaries related to climate change: (1) staying below a CO2 concentration of 550 ppm until 2100 and (2) returning to 350 ppm in 2100. Our results enable decision makers to assess the following milestones: (1) a minimum of 33% reduction of CO2 emissions by 2055 in order to stay below 550 ppm by 2100 (this milestone goes up to 46% in the case of delayed policies); and (2) carbon neutrality and the effective implementation of innovative geoengineering technologies (10% negative emissions) before 2060 in order to return to 350 ppm in 2100, under the assumption of getting out of the baseline scenario without delay. Finally, we emphasize the need to use adaptive path-based approach instead of single point target for climate policy design.
Arizona State Univer... arrow_drop_down Arizona State University: ASU Digital RepositoryArticle . 2017License: CC BYFull-Text: http://hdl.handle.net/2286/R.I.44365Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1038/srep42...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2017Data 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.Access RoutesGreen gold 24 citations 24 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Arizona State Univer... arrow_drop_down Arizona State University: ASU Digital RepositoryArticle . 2017License: CC BYFull-Text: http://hdl.handle.net/2286/R.I.44365Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1038/srep42...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2017Data 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.description Publicationkeyboard_double_arrow_right Article 2016Publisher:Elsevier BV Authors:
Annalisa Manera; Annalisa Manera
Annalisa Manera in OpenAIRE
Mingjun Wang; Mingjun Wang; Suizheng Qiu; +1 AuthorsMingjun Wang
Mingjun Wang in OpenAIRE
Annalisa Manera; Annalisa Manera
Annalisa Manera in OpenAIRE
Mingjun Wang; Mingjun Wang; Suizheng Qiu; Guanghui Su;Mingjun Wang
Mingjun Wang in OpenAIREAbstract The improvement of thermodynamic efficiency of power plants is of great interest for the whole energy industry. The use of Kalina cycle has a great potential to improve the thermal efficiency of a nuclear power plant. This cycle uses a mixture of ammonia and water as working fluid. In this paper, we discuss the development of an Ammonia-Water mixture Property Code (AWProC). The estimation of the mixture properties are based on the Gibbs free energy functions. The code is verified and validated against experimental data available in the literature and REFPROP code. It is shown that AWProC can accurately estimate the thermodynamic properties of ammonia-water mixtures over a wide range of conditions, including high temperature and pressure regions. The code is then used to investigate the feasibility of applying the Kalina cycle to a typical Pressurizer Water Reactor (PWR) plant as an effective way to improve the plant efficiency. The fundamental of Basic-Kalina (B-K) cycle is described in detail firstly. Then, two modified configurations, Recuperation-Kalina (R-K) and Flash-Kalina (F-K) cycles respectively, are proposed for a typical 1000 MWe PWR. The simulation results indicate that the R-K type cycle can reach about 31.2% efficiency with simple equipment requirements, while the F-K type cycle can reach efficiencies up to about 34.8%, but at the expenses of a slightly more complex design. The present work demonstrates the applicability of the Kalina cycle as a way to improve the thermal efficiency of a nuclear power plant. This concept is meaningful for improving nuclear power plants economic and competitiveness.
Progress in Nuclear ... arrow_drop_down Progress in Nuclear EnergyArticle . 2016License: Elsevier Non-CommercialData sources: BASE (Open Access Aggregator)Progress in Nuclear EnergyArticle . 2016 . Peer-reviewedLicense: Elsevier TDMData 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.Access Routeshybrid 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Progress in Nuclear ... arrow_drop_down Progress in Nuclear EnergyArticle . 2016License: Elsevier Non-CommercialData sources: BASE (Open Access Aggregator)Progress in Nuclear EnergyArticle . 2016 . Peer-reviewedLicense: Elsevier TDMData 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.description Publicationkeyboard_double_arrow_right Article 2018Publisher:Elsevier BV Authors: Kimberly E. Baugh;
Mikhail Zhizhin; Mikhail Zhizhin; Morgan Bazilian; +3 AuthorsMikhail Zhizhin
Mikhail Zhizhin in OpenAIREKimberly E. Baugh;
Mikhail Zhizhin; Mikhail Zhizhin; Morgan Bazilian; Feng-Chi Hsu; Tilottama Ghosh;Mikhail Zhizhin
Mikhail Zhizhin in OpenAIRE
Christopher D. Elvidge; Christopher D. Elvidge
Christopher D. Elvidge in OpenAIREIn this paper, we compare 2015 satellite-derived natural gas (gas) flaring data with the greenhouse gas reduction targets presented by those countries in their nationally determined contributions (NDC) under the United Nations Framework Convention on Climate Change (UNFCCC) Paris Agreement. Converting from flaring to utilization is an attractive option for reducing emissions. The analysis rates the potential role of reduction of gas flaring in meeting country-specific NDC targets. The analysis includes three categories of flaring: upstream in oil and gas production areas, downstream at refineries and transport facilities, and industrial (e.g., coal mines, landfills, water treatment plants, etc.). Upstream flaring dominates with 90.6% of all flaring. Global flaring represents less than 2% of the NDC reduction target. However, most gas flaring is concentrated in a limited set of countries, leaving the possibility that flaring reduction could contribute a sizeable portion of the NDC targets for specific countries. States that could fully meet their NDC targets through gas flaring reductions include: Yemen (240%), Algeria (197%), and Iraq (136%). Countries which could meet a substantial portion of their NDC targets with gas flaring reductions include: Gabon (94%), Algeria (48%), Venezuela (47%), Iran (34%), and Sudan (33%). On the other hand, several countries with large flared gas volumes could only meet a small portion of their NDC targets from gas flaring reductions, including the Russian Federation (2.4%) and the USA (0.1%). These findings may be useful in guiding national level efforts to meet NDC greenhouse gas reduction targets. Keywords: VIIRS, Gas flaring, Nightfire, Nationally determined contributions, UN climate agreement
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.Access Routesgold 123 citations 123 popularity Top 1% influence Top 10% impulse Top 1% 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.description Publicationkeyboard_double_arrow_right Report , Other literature type 2011Publisher:Office of Scientific and Technical Information (OSTI) Authors: Zavadil, Kevin Robert; Hickner; Michael A. (Pennsylvania State University; University Park; +3 AuthorsZavadil, Kevin Robert; Hickner; Michael A. (Pennsylvania State University; University Park; PA); Gross; Matthew L. (Pennsylvania State University;doi: 10.2172/1011683
The Proliferation Assessment (program area - Things Thin) within the Defense Systems and Assessment Investment Area desires high energy density and long-lived power sources with moderate currents (mA) that can be used as building blocks in platforms for the continuous monitoring of chemical, biological, and radiological agents. Fuel cells can be an optimum choice for a power source because of the high energy densities that are possible with liquid fuels. Additionally, power generation and fuel storage can be decoupled in a fuel cell for independent control of energy and power density for customized, application-driven power solutions. Direct methanol fuel cells (DMFC) are explored as a possible concept to develop into ultrathin or two-dimensional power sources. New developments in nanotechnology, advanced fabrication techniques, and materials science are exploited to create a planar DMFC that could be co-located with electronics in a chip format. Carbon nanotubes and pyrolyzed polymers are used as building block electrodes - porous, mechanically compliant current collectors. Directed assembly methods including surface functionalization and layer-by-layer deposition with polyelectrolytes are used to pattern, build, and add functionality to these electrodes. These same techniques are used to incorporate nanoscale selective electrocatalyst into the carbon electrodes to provide a high density more » of active electron transfer sites for the methanol oxidation and oxygen reduction reactions. The resulting electrodes are characterized in terms of their physical properties, electrocatalytic function, and selectivity to better understand how processing impacts their performance attributes. The basic function of a membrane electrode assembly is demonstrated for several prototype devices. « less
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.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.description Publicationkeyboard_double_arrow_right Article , Research , Preprint 2021Embargo end date: 01 Jan 2020Publisher:Springer Science and Business Media LLC Publicly fundedFunded by:EC | AMVA4NewPhysics, EC | INSIGHTS, EC | LHCTOPVLQEC| AMVA4NewPhysics ,EC| INSIGHTS ,EC| LHCTOPVLQSirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; Bergauer, T.;
Dragicevic, M.; Ero, J.;Dragicevic, M.
Dragicevic, M. in OpenAIRE
Del Valle, A. Escalante; Fruhwirth, R.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Madlener, T.; Mikulec, I; Pitters, F. M.; Rad, N.;Del Valle, A. Escalante
Del Valle, A. Escalante in OpenAIRE
Schieck, J.; Schofbeck, R.; Spanring, M.; Templ, S.;Schieck, J.
Schieck, J. in OpenAIRE
Waltenberger, W.; Wulz, C-E; Zarucki, M.; Chekhovsky, V; Litomin, A.;Waltenberger, W.
Waltenberger, W. in OpenAIRE
Makarenko, V; Gonzalez, J. Suarez; Darwish, M. R.; De Wolf, E. A.;Makarenko, V
Makarenko, V in OpenAIRE
Di Croce, D.; Janssen, X.; Kello, T.; Lelek, A.; Pieters, M.; Sfar, H. Rejeb; Van Haevermaet, H.; Van Mechelen, P.; Van Putte, S.;Di Croce, D.
Di Croce, D. in OpenAIRE
Van Remortel, N.; Van Remortel, N.
Van Remortel, N. in OpenAIRE
Blekman, F.; Blekman, F.
Blekman, F. in OpenAIRE
Bols, E. S.; Chhibra, S. S.;Bols, E. S.
Bols, E. S. in OpenAIRE
D'Hondt, J.; D'Hondt, J.
D'Hondt, J. in OpenAIRE
De Clercq, J.; Lontkovskyi, D.; Lowette, S.; Marchesini, I;De Clercq, J.
De Clercq, J. in OpenAIRE
Moortgat, S.; Morton, A.; Python, Q.;Moortgat, S.
Moortgat, S. in OpenAIRE
Tavernier, S.; Van Doninck, W.; Van; Mulders, P.; Beghin, D.; Bilin, B.; Clerbaux, B.; De; Lentdecker, G.; Dorney, B.; Favart, L.; Grebenyuk, A.;Tavernier, S.
Tavernier, S. in OpenAIRE
Kalsi, A. K.; Makarenko, I; Moureaux, L.; Petre, L.; Popov; A.; Postiau, N.;Kalsi, A. K.
Kalsi, A. K. in OpenAIRE
Starling, E.; Thomas, L.; Vander Velde, C.; Vanlaer, P.; Vannerom, D.; Wezenbeek, L.;Starling, E.
Starling, E. in OpenAIRE
Cornelis, T.; Dobur, D.; Gruchala, M.; Khvastunov, I; Niedziela, M.; Roskas, C.;Cornelis, T.
Cornelis, T. in OpenAIRE
Skovpen, K.; Skovpen, K.
Skovpen, K. in OpenAIRE
Tytgat, M.; Verbeke, W.; Vermassen; B.; Vit, M.; Bruno, G.; Bury, F.;Tytgat, M.
Tytgat, M. in OpenAIRE
Caputo, C.; Caputo, C.
Caputo, C. in OpenAIRE
David, P.; David, P.
David, P. in OpenAIRE
Delaere, C.; Delcourt, M.; Donertas, I. S.;Delaere, C.
Delaere, C. in OpenAIRE
Giammanco, A.; Lemaitre, V; Mondal, K.; Prisciandaro, J.; Taliercio, A.; Teklishyn, M.;Giammanco, A.
Giammanco, A. in OpenAIRE
Vischia, P.; Wuyckens, S.; Zobec, J.;Vischia, P.
Vischia, P. in OpenAIRE
Alves, G. A.; Correia Silva, G.; Hensel, C.;Alves, G. A.
Alves, G. A. in OpenAIRE
Moraes, A.; Alda Junior, W. L.; Belchior Batista Das Chagas, E.; Brandao; Malbouisson, H.; Carvalho, W.; Chinellato, J.; Coelho, E.;Moraes, A.
Moraes, A. in OpenAIRE
Da Costa, E. M.; Da Costa, E. M.
Da Costa, E. M. in OpenAIRE
Da Silveira, G. G.; Da Silveira, G. G.
Da Silveira, G. G. in OpenAIRE
De Jesus Damiao, D.; Fonseca De Souza, S.; Martins, J.; Matos Figueiredo, D.; Medina; Jaime, M.; Melo De Almeida, M.;De Jesus Damiao, D.
De Jesus Damiao, D. in OpenAIRE
Mora Herrera, C.; Mora Herrera, C.
Mora Herrera, C. in OpenAIRE
Mundim, L.; Nogima, H.;Mundim, L.
Mundim, L. in OpenAIRE
Rebello Teles, P.; Rebello Teles, P.
Rebello Teles, P. in OpenAIRE
Sanchez Rosas, L. J.; Santoro, A.; Silva Do Amaral, S. M.;Sanchez Rosas, L. J.
Sanchez Rosas, L. J. in OpenAIRE
Sznajder, A.; Thiel, M.;Sznajder, A.
Sznajder, A. in OpenAIRE
Tonelli Manganote, E. J.; Tonelli Manganote, E. J.
Tonelli Manganote, E. J. in OpenAIRE
Torres Da Silva De Araujo, F.; Torres Da Silva De Araujo, F.
Torres Da Silva De Araujo, F. in OpenAIRE
Vilela Pereira, A.; Vilela Pereira, A.
Vilela Pereira, A. in OpenAIRE
Bernardes, C. A.; Bernardes, C. A.
Bernardes, C. A. in OpenAIRE
Calligaris, L.; Fernandez;Calligaris, L.
Calligaris, L. in OpenAIRE
Perez Tomei, T. R.; Gregores, E. M.;Perez Tomei, T. R.
Perez Tomei, T. R. in OpenAIRE
Lemos, D. S.; Mercadante; P. G.;Lemos, D. S.
Lemos, D. S. in OpenAIRE
Novaes, S. F.; Novaes, S. F.
Novaes, S. F. in OpenAIRE
Padula, Sandra S.; Aleksandrov, A.; Antchev, G.; Atanasov, I; Hadjiiska, R.; Iaydjiev, P.; Misheva, M.; Rodozov, M.;Padula, Sandra S.
Padula, Sandra S. in OpenAIRE
Shopova, M.; Sultanov, G.; Bonchev, M.; Dimitrov, A.; Ivanov, T.;Shopova, M.
Shopova, M. in OpenAIRE
Litov, L.; Pavlov, B.; Petkov, P.;Litov, L.
Litov, L. in OpenAIRE
Petrov, A.; Fang, W.; Guo, Q.; Wang, H.; Yuan, L.; Ahmad, M.; Hu, Z.; Wang, Y.;Petrov, A.
Petrov, A. in OpenAIRE
Chapon, E.; Chen; G. M.;Chapon, E.
Chapon, E. in OpenAIRE
Chen, H. S.; Chen, M.; Kapoor, A.; Leggat, D.; Liao, H.;Chen, H. S.
Chen, H. S. in OpenAIRE
Liu, Z.; Liu, Z.
Liu, Z. in OpenAIRE
Sharma, R.; Spiezia, A.;Sharma, R.
Sharma, R. in OpenAIRE
Tao, J.; Thomas-wilsker, J.;
Wang, J.; Zhang, H.; Zhang, S.; Zhao, J.; Agapitos, A.; Ban, Y.; Chen, C.; Huang, Q.; Levin, A.;Wang, J.
Wang, J. in OpenAIRE
Li, Q.;
Lu, M.; Lyu, X.; Mao, Y.; Qian, S. J.; Wang; D.;
Wang, Q.; Xiao, J.;Wang, Q.
Wang, Q. in OpenAIREdoi: 10.1140/epjc/s10052-020-08817-8 , 10.48550/arxiv.2009.01186 , 10.3204/pubdb-2021-01404 , 10.5445/ir/1000133495 , 10.3204/pubdb-2020-03553 , 10.18154/rwth-2021-04402 , 10.18154/rwth-2021-04323
pmid: 33750993
pmc: PMC7921081
handle: 10486/704420 , 10651/61050 , 11588/981266 , 11368/2981217 , 20.500.12960/1096 , 10281/308797 , 10679/8214 , 10067/1775930151162165141 , 11449/210711 , 11492/4967 , 10831/111002 , 11503/974 , 11486/5265 , 11577/3400582 , 11573/1639263 , 11584/420886 , 11567/1050491 , 11568/1134020 , 11589/257781 , 11391/1507393 , 11384/101251 , 11585/853320 , 20.500.11769/526794 , 2158/1297765 , 1854/LU-8702116 , 2318/1841118 , 11579/135374 , 11563/159092 , 10044/1/87583 , 11586/374199 , 11571/1478316
doi: 10.1140/epjc/s10052-020-08817-8 , 10.48550/arxiv.2009.01186 , 10.3204/pubdb-2021-01404 , 10.5445/ir/1000133495 , 10.3204/pubdb-2020-03553 , 10.18154/rwth-2021-04402 , 10.18154/rwth-2021-04323
pmid: 33750993
pmc: PMC7921081
handle: 10486/704420 , 10651/61050 , 11588/981266 , 11368/2981217 , 20.500.12960/1096 , 10281/308797 , 10679/8214 , 10067/1775930151162165141 , 11449/210711 , 11492/4967 , 10831/111002 , 11503/974 , 11486/5265 , 11577/3400582 , 11573/1639263 , 11584/420886 , 11567/1050491 , 11568/1134020 , 11589/257781 , 11391/1507393 , 11384/101251 , 11585/853320 , 20.500.11769/526794 , 2158/1297765 , 1854/LU-8702116 , 2318/1841118 , 11579/135374 , 11563/159092 , 10044/1/87583 , 11586/374199 , 11571/1478316
AbstractThe production of Z boson pairs in proton–proton ($${\mathrm{p}} {\mathrm{p}} $$ p p ) collisions, $${{\mathrm{p}} {\mathrm{p}} \rightarrow ({\mathrm{Z}}/\gamma ^*)({\mathrm{Z}}/\gamma ^*) \rightarrow 2\ell 2\ell '}$$ p p → ( Z / γ ∗ ) ( Z / γ ∗ ) → 2 ℓ 2 ℓ ′ , where $${\ell ,\ell ' = {\mathrm{e}}}$$ ℓ , ℓ ′ = e or $${{\upmu }}$$ μ , is studied at a center-of-mass energy of 13$$\,\text {TeV}$$ TeV with the CMS detector at the CERN LHC. The data sample corresponds to an integrated luminosity of 137$$\,\text {fb}^{-1}$$ fb - 1 , collected during 2016–2018. The $${\mathrm{Z}} {\mathrm{Z}} $$ Z Z production cross section, $$\sigma _{\text {tot}} ({\mathrm{p}} {\mathrm{p}} \rightarrow {\mathrm{Z}} {\mathrm{Z}} ) = 17.4 \pm 0.3 \,\text {(stat)} \pm 0.5 \,\text {(syst)} \pm 0.4 \,\text {(theo)} \pm 0.3 \,\text {(lumi)} \text { pb} $$ σ tot ( p p → Z Z ) = 17.4 ± 0.3 (stat) ± 0.5 (syst) ± 0.4 (theo) ± 0.3 (lumi) pb , measured for events with two pairs of opposite-sign, same-flavor leptons produced in the mass region $${60< m_{\ell ^+\ell ^-} < 120\,\text {GeV}}$$ 60 < m ℓ + ℓ - < 120 GeV is consistent with standard model predictions. Differential cross sections are also measured and agree with theoretical predictions. The invariant mass distribution of the four-lepton system is used to set limits on anomalous $${\mathrm{Z}} {\mathrm{Z}} {\mathrm{Z}} $$ Z Z Z and $${{\mathrm{Z}} {\mathrm{Z}} \gamma }$$ Z Z γ couplings.
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTAPadua research Archive (Archivio istituzionale della ricerca - Università di Padova)Article . 2021License: CC BYArchivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BY NC NDData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2021License: CC BYData sources: Archivio della Ricerca - Università di PisaBelarusian State University: Electronic Library BSUArticle . 2021License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/289295Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021License: CC BYFull-Text: https://bura.brunel.ac.uk/handle/2438/22652Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2021License: CC BYFull-Text: https://escholarship.org/uc/item/3804229hData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87583Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2021Full-Text: https://hdl.handle.net/11586/374199Data sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2021Full-Text: https://arxiv.org/abs/2009.01186Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)European Physical Journal C: Particles and FieldsArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefCroatian Scientific Bibliography - CROSBIArticle . 2021Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAEuropean Physical Journal C: Particles and FieldsArticle . 2021Data sources: Croatian Research Information SystemPiri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiArticle . 2021Data sources: Piri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiSpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2021Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2021License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoKaramanoğlu Mehmetbey Üniversitesi Akademik Arşiv SistemiArticle . 2021ELTE Digital Institutional Repository (EDIT)Article . 2021Data sources: ELTE Digital Institutional Repository (EDIT)Sirnak University Institutional RepositoryArticle . 2021Data sources: Sirnak University Institutional RepositorySinop Üniversitesi Akademik Arşiv SistemiArticle . 2025Data sources: Sinop Üniversitesi Akademik Arşiv SistemiElectronic archive of Tomsk Polytechnic UniversityArticle . 2023Data sources: Electronic archive of Tomsk Polytechnic UniversityeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2021Data sources: Ghent University Academic BibliographyPublikationsserver der RWTH Aachen UniversityPreprint . 2020Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2021Data sources: Publikationsserver der RWTH Aachen UniversityBrunel University Research ArchiveArticle . 2021License: CC BYData sources: Brunel University Research ArchiveÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Université Savoie Mont Blanc: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archivio Istituzionale della Ricerca - Politecnico di BariArticle . 2021IRIS - Università degli Studi di CataniaArticle . 2021Data sources: IRIS - Università degli Studi di CataniaFlore (Florence Research Repository)Article . 2021Data sources: Flore (Florence Research Repository)FEDOA - IRIS Università degli Studi Napoli Federico IIArticle . 2021Data sources: FEDOA - IRIS Università degli Studi Napoli Federico IIUniversità degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi della Basilicata: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Universidade Estadual Paulista São Paulo: Repositório Institucional UNESPArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021Data 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.Access RoutesGreen gold 29 citations 29 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
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more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTAPadua research Archive (Archivio istituzionale della ricerca - Università di Padova)Article . 2021License: CC BYArchivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BY NC NDData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2021License: CC BYData sources: Archivio della Ricerca - Università di PisaBelarusian State University: Electronic Library BSUArticle . 2021License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/289295Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021License: CC BYFull-Text: https://bura.brunel.ac.uk/handle/2438/22652Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2021License: CC BYFull-Text: https://escholarship.org/uc/item/3804229hData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87583Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2021Full-Text: https://hdl.handle.net/11586/374199Data sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2021Full-Text: https://arxiv.org/abs/2009.01186Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)European Physical Journal C: Particles and FieldsArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefCroatian Scientific Bibliography - CROSBIArticle . 2021Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAEuropean Physical Journal C: Particles and FieldsArticle . 2021Data sources: Croatian Research Information SystemPiri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiArticle . 2021Data sources: Piri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiSpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2021Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2021License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoKaramanoğlu Mehmetbey Üniversitesi Akademik Arşiv SistemiArticle . 2021ELTE Digital Institutional Repository (EDIT)Article . 2021Data sources: ELTE Digital Institutional Repository (EDIT)Sirnak University Institutional RepositoryArticle . 2021Data sources: Sirnak University Institutional RepositorySinop Üniversitesi Akademik Arşiv SistemiArticle . 2025Data sources: Sinop Üniversitesi Akademik Arşiv SistemiElectronic archive of Tomsk Polytechnic UniversityArticle . 2023Data sources: Electronic archive of Tomsk Polytechnic UniversityeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2021Data sources: Ghent University Academic BibliographyPublikationsserver der RWTH Aachen UniversityPreprint . 2020Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2021Data sources: Publikationsserver der RWTH Aachen UniversityBrunel University Research ArchiveArticle . 2021License: CC BYData sources: Brunel University Research ArchiveÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Université Savoie Mont Blanc: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archivio Istituzionale della Ricerca - Politecnico di BariArticle . 2021IRIS - Università degli Studi di CataniaArticle . 2021Data sources: IRIS - Università degli Studi di CataniaFlore (Florence Research Repository)Article . 2021Data sources: Flore (Florence Research Repository)FEDOA - IRIS Università degli Studi Napoli Federico IIArticle . 2021Data sources: FEDOA - IRIS Università degli Studi Napoli Federico IIUniversità degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi della Basilicata: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Universidade Estadual Paulista São Paulo: Repositório Institucional UNESPArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021Data 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.description Publicationkeyboard_double_arrow_right Article 2020Publisher:Elsevier BV Authors: Alberto Abad;
Pilar Gayán; Pilar Gayán
Pilar Gayán in OpenAIRE
Francisco García-Labiano; Francisco García-Labiano
Francisco García-Labiano in OpenAIRE
Maria Izquierdo; +4 AuthorsMaria Izquierdo
Maria Izquierdo in OpenAIREAlberto Abad;
Pilar Gayán; Pilar Gayán
Pilar Gayán in OpenAIRE
Francisco García-Labiano; Francisco García-Labiano
Francisco García-Labiano in OpenAIRE
Maria Izquierdo; Maria Izquierdo
Maria Izquierdo in OpenAIRE
Juan Adánez; Juan Adánez
Juan Adánez in OpenAIRE
Luis F. de Diego; Luis F. de Diego
Luis F. de Diego in OpenAIRE
Raúl Pérez-Vega; Raúl Pérez-Vega;Raúl Pérez-Vega
Raúl Pérez-Vega in OpenAIREhandle: 10261/190966
Chemical looping combustion allows the carbon dioxide capture by using an oxygen carrier, which transports the oxygen required for combustion from the air to the fuel. But complete combustion of a solid fuel is not achieved when low cost materials were used as oxygen carriers. Manganese‑iron mixed oxide doped with titanium has been identified as a promising oxygen carrier to improve combustion efficiency due to its oxygen uncoupling capability. The objective of this work was to assess the potential of this oxygen carrier when burning coal in a chemical looping unit. The coal combustion efficiency and carbon dioxide capture were evaluated as a function of the operating conditions both in the fuel and air reactor. Carbon dioxide capture was affected by the solids residence time in the fuel reactor. Coal combustion efficiency increased as the oxygen uncoupling capability was enhanced by using suitable operating conditions in the air reactor. Almost full coal combustion (99.4%) was achieved by setting an air reactor temperature of 880 °C, an air excess of 1.8, a fuel reactor temperature of 925 °C, and an oxygen carrier to fuel ratio >3. The oxygen carrier showed magnetic properties, allowing its re-use after being separated from ash. This work was partially supported by the project ENE2016-77982-R (AEI/FEDER, UE) and project ENE2017-89473R (AEI/FEDER, UE), and by the Consejo Superior de Investigaciones Científicas (CSIC project: 2017-80E035). 10 Figures, 4 Tables.-- © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAFuel Processing TechnologyArticle . 2020 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAadd 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.Access RoutesGreen gold 37 citations 37 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 44visibility views 44 download downloads 126 Powered by
more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAFuel Processing TechnologyArticle . 2020 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAadd 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.description Publicationkeyboard_double_arrow_right Article 2015Publisher:Elsevier BV Authors: Sachit Grover; Josefine K. Selj; David L. Young;AbstractIn this work we use an effective weighting function to include the internal quantum efficiency (IQE) and the effective thickness, Te, of the active cell layer in the optical modeling of the antireflection coating (ARC) of very thin crystalline silicon solar cells. The spectrum transmitted through the ARC is hence optimized for efficient use in the given cell structure and the solar cell performance can be improved. For a 2-μm thick crystalline silicon heterojunction solar cell the optimal thickness of the Indium Tin Oxide (ITO) ARC is reduced by ∼8nm when IQE data and effective thickness are taken into account compared to the standard ARC optimization, using the AM1.5 spectrum only. The reduced ARC thickness will shift the reflectance minima towards shorter wavelengths and hence better match the absorption of very thin cells, where the short wavelength range of the spectrum is relatively more important than the long, weakly absorbed wavelengths. For this cell, we find that the optimal thickness of the ITO starts at 63nm for very thin (1μm) active Si layer and then increase with increasing Te until it saturates at 71nm for Te > 30μm.
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.Access Routesgold 11 citations 11 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.description Publicationkeyboard_double_arrow_right Article , Other literature type 2020Publisher:Wiley Funded by:UKRI | EcoLowNOx: Auxiliary Comb...UKRI| EcoLowNOx: Auxiliary Combustion System for Efficient Combustion with Low-NOx emissions for Foundation IndustriesAuthors:
Mark E. Capron; Mark E. Capron
Mark E. Capron in OpenAIRE
Jim R. Stewart; Jim R. Stewart
Jim R. Stewart in OpenAIRE
Antoine de Ramon N’Yeurt; Michael D. Chambers; +10 AuthorsAntoine de Ramon N’Yeurt
Antoine de Ramon N’Yeurt in OpenAIRE
Mark E. Capron; Mark E. Capron
Mark E. Capron in OpenAIRE
Jim R. Stewart; Jim R. Stewart
Jim R. Stewart in OpenAIRE
Antoine de Ramon N’Yeurt; Michael D. Chambers; Jang K. Kim;Antoine de Ramon N’Yeurt
Antoine de Ramon N’Yeurt in OpenAIRE
Charles Yarish; Anthony T. Jones; Reginald B. Blaylock;Charles Yarish
Charles Yarish in OpenAIRE
Scott C. James; Scott C. James
Scott C. James in OpenAIRE
Rae Fuhrman; Martin T. Sherman; Don Piper;Rae Fuhrman
Rae Fuhrman in OpenAIRE
Graham Harris; Mohammed A. Hasan;Graham Harris
Graham Harris in OpenAIREUnless humanity achieves United Nations Sustainable Development Goals (SDGs) by 2030 and restores the relatively stable climate of pre-industrial CO2 levels (as early as 2140), species extinctions, starvation, drought/floods, and violence will exacerbate mass migrations. This paper presents conceptual designs and techno-economic analyses to calculate sustainable limits for growing high-protein seafood and macroalgae-for-biofuel. We review the availability of wet solid waste and outline the mass balance of carbon and plant nutrients passing through a hydrothermal liquefaction process. The paper reviews the availability of dry solid waste and dry biomass for bioenergy with CO2 capture and storage (BECCS) while generating Allam Cycle electricity. Sufficient wet-waste biomass supports quickly building hydrothermal liquefaction facilities. Macroalgae-for-biofuel technology can be developed and straightforwardly implemented on SDG-achieving high protein seafood infrastructure. The analyses indicate a potential for (1) 0.5 billion tonnes/yr of seafood; (2) 20 million barrels/day of biofuel from solid waste; (3) more biocrude oil from macroalgae than current fossil oil; and (4) sequestration of 28 to 38 billion tonnes/yr of bio-CO2. Carbon dioxide removal (CDR) costs are between 25–33% of those for BECCS with pre-2019 technology or the projected cost of air-capture CDR.
Energies arrow_drop_down EnergiesOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/1996-1073/13/18/4972/pdfData sources: Multidisciplinary Digital Publishing Instituteadd 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.Access Routesgold 18 citations 18 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/1996-1073/13/18/4972/pdfData sources: Multidisciplinary Digital Publishing Instituteadd 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.description Publicationkeyboard_double_arrow_right Article 2011Publisher:Elsevier BV Authors: Krishnapuram G. Karthikeyan; A. Alkan-Ozkaynak;pmid: 21890343
Recycling of anaerobically-digested thin stillage within a corn-ethanol plant may result in the accumulation of nutrients of environmental concern in animal feed coproducts and inhibitory organic materials in the fermentation tank. Our focus is on anaerobic digestion of treated (centrifugation and lime addition) thin stillage. Suitability of digestate from anaerobic treatment for reuse as process water was also investigated. Experiments conducted at various inoculum-to-substrate ratios (ISRs) revealed that alkalinity is a critical parameter limiting digestibility of thin stillage. An ISR level of 2 appeared optimal based on high biogas production level (763 mL biogas/g volatile solids added) and organic matter removal (80.6% COD removal). The digester supernatant at this ISR level was found to contain both organic and inorganic constituents at levels that would cause no inhibition to ethanol fermentation. Anaerobic digestion of treated-thin stillage can be expected to improve the water and energy efficiencies of dry grind corn-ethanol plants.
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.63 citations 63 popularity Top 10% influence Top 10% impulse Top 10% 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.description Publicationkeyboard_double_arrow_right Article , Preprint 2020Embargo end date: 01 Jan 2019Publisher:Institute of Electrical and Electronics Engineers (IEEE) Authors:
Xinan Wang; Xinan Wang
Xinan Wang in OpenAIRE
Yishen Wang; Yishen Wang
Yishen Wang in OpenAIRE
Di Shi; Di Shi
Di Shi in OpenAIRE
Jianhui Wang; +1 AuthorsJianhui Wang
Jianhui Wang in OpenAIRE
Xinan Wang; Xinan Wang
Xinan Wang in OpenAIRE
Yishen Wang; Yishen Wang
Yishen Wang in OpenAIRE
Di Shi; Di Shi
Di Shi in OpenAIRE
Jianhui Wang; Zhiwei Wang;Jianhui Wang
Jianhui Wang in OpenAIREWith the increasing complexity of modern power systems, conventional dynamic load modeling with ZIP and induction motors (ZIP + IM) is no longer adequate to address the current load characteristic transitions. In recent years, the WECC composite load model (WECC CLM) has shown to effectively capture the dynamic load responses over traditional load models in various stability studies and contingency analyses. However, a detailed WECC CLM model typically has a high degree of complexity, with over one hundred parameters, and no systematic approach to identifying and calibrating these parameters. Enabled by the wide deployment of PMUs and advanced deep learning algorithms, proposed here is a double deep Q-learning network (DDQN)-based, two-stage load modeling framework for the WECC CLM. This two-stage method decomposes the complicated WECC CLM for more efficient identification and does not require explicit model details. In the first stage, the DDQN agent determines an accurate load composition. In the second stage, the parameters of the WECC CLM are selected from a group of Monte-Carlo simulations. The set of selected load parameters is expected to best approximate the true transient responses. The proposed framework is verified using an IEEE 39-bus test system on commercial simulation platforms. To appear in IEEE Transactions on Smart Grid
IEEE Transactions on... arrow_drop_down IEEE Transactions on Smart GridArticle . 2020 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefhttps://dx.doi.org/10.48550/ar...Article . 2019License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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.Access RoutesGreen bronze 45 citations 45 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert IEEE Transactions on... arrow_drop_down IEEE Transactions on Smart GridArticle . 2020 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefhttps://dx.doi.org/10.48550/ar...Article . 2019License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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.
