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Surface Coverage as an Important Parameter for Predicting Selectivity Trends in Electrochemical CO(2) Reduction

[Image: see text] The electrochemical CO(2) reduction reaction (CO(2)RR) is important for a sustainable future. Key insights into the reaction pathways have been obtained by density functional theory (DFT) analysis, but so far, DFT has been unable to give an overall understanding of selectivity tren...

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Autores principales: Morrison, Andrew R. T., Ramdin, Mahinder, van der Broeke, Leo J. P., de Jong, Wiebren, Vlugt, Thijs J. H., Kortlever, Ruud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340765/
https://www.ncbi.nlm.nih.gov/pubmed/35928239
http://dx.doi.org/10.1021/acs.jpcc.2c00520
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author Morrison, Andrew R. T.
Ramdin, Mahinder
van der Broeke, Leo J. P.
de Jong, Wiebren
Vlugt, Thijs J. H.
Kortlever, Ruud
author_facet Morrison, Andrew R. T.
Ramdin, Mahinder
van der Broeke, Leo J. P.
de Jong, Wiebren
Vlugt, Thijs J. H.
Kortlever, Ruud
author_sort Morrison, Andrew R. T.
collection PubMed
description [Image: see text] The electrochemical CO(2) reduction reaction (CO(2)RR) is important for a sustainable future. Key insights into the reaction pathways have been obtained by density functional theory (DFT) analysis, but so far, DFT has been unable to give an overall understanding of selectivity trends without important caveats. We show that an unconsidered parameter in DFT models of electrocatalysts—the surface coverage of reacting species—is crucial for understanding the CO(2)RR selectivities for different surfaces. Surface coverage is a parameter that must be assumed in most DFT studies of CO(2)RR electrocatalysts, but so far, only the coverage of nonreacting adsorbates has been treated. Explicitly treating the surface coverage of reacting adsorbates allows for an investigation that can more closely mimic operating conditions. Furthermore, and of more immediate importance, the use of surface coverage-dependent adsorption energies allows for the extraction of ratios of adsorption energies of CO(2)RR intermediates (COOH(ads) and HCOO(ads)) that are shown to be predictive of selectivity and are not susceptible to systematic errors. This approach allows for categorization of the selectivity of several monometallic catalysts (Pt, Pd, Au, Ag, Zn, Cu, Rh, W, Pb, Sn, In, Cd, and Tl), even problematic ones such as Ag or Zn, and does so by only considering the adsorption energies of known intermediates. The selectivity of the further reduction of COOH(ads) can now be explained by a preference for Tafel or Heyrovsky reactions, recontextualizing the nature of selectivity of some catalysts. In summary, this work resolves differences between DFT and experimental studies of the CO(2)RR and underlines the importance of surface coverage.
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spelling pubmed-93407652022-08-02 Surface Coverage as an Important Parameter for Predicting Selectivity Trends in Electrochemical CO(2) Reduction Morrison, Andrew R. T. Ramdin, Mahinder van der Broeke, Leo J. P. de Jong, Wiebren Vlugt, Thijs J. H. Kortlever, Ruud J Phys Chem C Nanomater Interfaces [Image: see text] The electrochemical CO(2) reduction reaction (CO(2)RR) is important for a sustainable future. Key insights into the reaction pathways have been obtained by density functional theory (DFT) analysis, but so far, DFT has been unable to give an overall understanding of selectivity trends without important caveats. We show that an unconsidered parameter in DFT models of electrocatalysts—the surface coverage of reacting species—is crucial for understanding the CO(2)RR selectivities for different surfaces. Surface coverage is a parameter that must be assumed in most DFT studies of CO(2)RR electrocatalysts, but so far, only the coverage of nonreacting adsorbates has been treated. Explicitly treating the surface coverage of reacting adsorbates allows for an investigation that can more closely mimic operating conditions. Furthermore, and of more immediate importance, the use of surface coverage-dependent adsorption energies allows for the extraction of ratios of adsorption energies of CO(2)RR intermediates (COOH(ads) and HCOO(ads)) that are shown to be predictive of selectivity and are not susceptible to systematic errors. This approach allows for categorization of the selectivity of several monometallic catalysts (Pt, Pd, Au, Ag, Zn, Cu, Rh, W, Pb, Sn, In, Cd, and Tl), even problematic ones such as Ag or Zn, and does so by only considering the adsorption energies of known intermediates. The selectivity of the further reduction of COOH(ads) can now be explained by a preference for Tafel or Heyrovsky reactions, recontextualizing the nature of selectivity of some catalysts. In summary, this work resolves differences between DFT and experimental studies of the CO(2)RR and underlines the importance of surface coverage. American Chemical Society 2022-07-13 2022-07-28 /pmc/articles/PMC9340765/ /pubmed/35928239 http://dx.doi.org/10.1021/acs.jpcc.2c00520 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Morrison, Andrew R. T.
Ramdin, Mahinder
van der Broeke, Leo J. P.
de Jong, Wiebren
Vlugt, Thijs J. H.
Kortlever, Ruud
Surface Coverage as an Important Parameter for Predicting Selectivity Trends in Electrochemical CO(2) Reduction
title Surface Coverage as an Important Parameter for Predicting Selectivity Trends in Electrochemical CO(2) Reduction
title_full Surface Coverage as an Important Parameter for Predicting Selectivity Trends in Electrochemical CO(2) Reduction
title_fullStr Surface Coverage as an Important Parameter for Predicting Selectivity Trends in Electrochemical CO(2) Reduction
title_full_unstemmed Surface Coverage as an Important Parameter for Predicting Selectivity Trends in Electrochemical CO(2) Reduction
title_short Surface Coverage as an Important Parameter for Predicting Selectivity Trends in Electrochemical CO(2) Reduction
title_sort surface coverage as an important parameter for predicting selectivity trends in electrochemical co(2) reduction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340765/
https://www.ncbi.nlm.nih.gov/pubmed/35928239
http://dx.doi.org/10.1021/acs.jpcc.2c00520
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