<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=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Bayesian Symbolic Learning to Build Analytical Correlations from Rigorous Process Simulations: Application to CO2 Capture Technologies

Name: Bayesian Symbolic Learning to Build Analytical Correlations from Rigorous Process Simulations: Application to CO2 Capture Technologies
Keywords: machine learning, carbon capture and storage, symbolic regression, process simulation

Research datakeyboard_double_arrow_right Dataset 02 Nov 2022 English Publisher:Zenodo

Authors: Negri, Valentina; Vázquez, Daniel; Sales-Pardo, Marta; Guimerà, Roger; Guillén-Gosálbez, Gonzalo;

doi: 10.5281/zenodo.8239352 , 10.5281/zenodo.8239351

Bayesian Symbolic Learning to Build Analytical Correlations from Rigorous Process Simulations: Application to CO2 Capture Technologies

- Summary
- Subjects
- Related research
  (1)
- Metrics

Abstract

Dataset of process simulations results of the natural gas sweetening and flue gas treatment (first and second sheet, respectively as indicated by the sheet name in the .xlsx file). The dataset refers to the publication Bayesian Symbolic Learning to Build Analytical Correlations from Rigorous Process Simulations: Application to CO2 Capture Technologies by V. Negri, Vàzquey D., Sales-Pardo, Marta, Guimerà, R. and Guillén-Gosàlbez, G. The training and testing dataset are used to generate the figures in the main manuscript and supplementary information.

Related Organizations

ETH Zurich
Switzerland
Universitat Rovira i Virgili
Spain

Keywords

machine learning, carbon capture and storage, symbolic regression, process simulation

1 Research products, page 1 of 1

Bayesian Symbolic Learning to Build Analytical Correlations from Rigorous Process Simulations: Application to CO₂ Capture Technologies
2022IsSupplementTo

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Found an issue? Give us feedback

Average

Related to Research communities

Aurora Universities Network

SDSN Greece

Energy Research