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Computational Insight into TM–N(x) Embedded Graphene Bifunctional Electrocatalysts for Oxygen Evolution and Reduction Reactions
[Image: see text] Due to the energy crisis, development of bifunctional electrocatalysts for both oxygen evolution and reduction reactions is highly demanding. In this study, we have systematically investigated the bifunctional activity of metal (Co/Rh/Ir) and N co-doped graphene systems with varyin...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955129/ https://www.ncbi.nlm.nih.gov/pubmed/36855422 http://dx.doi.org/10.1021/acsphyschemau.2c00003 |
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author | Dutta, Supriti Banerjee, Paramita Pati, Swapan K. |
author_facet | Dutta, Supriti Banerjee, Paramita Pati, Swapan K. |
author_sort | Dutta, Supriti |
collection | PubMed |
description | [Image: see text] Due to the energy crisis, development of bifunctional electrocatalysts for both oxygen evolution and reduction reactions is highly demanding. In this study, we have systematically investigated the bifunctional activity of metal (Co/Rh/Ir) and N co-doped graphene systems with varying N-dopant concentrations (TM–N(x)@G, x = 0, 2, 4) using first-principles calculations. Charge transfer from the metal sites to the adsorbed intermediates and the adsorption free energy of the intermediates play important roles to help understand the potential-determining step and overpotential values for oxygen evolution reaction (OER)/oxygen reduction reaction (ORR). A dual volcano plot for all the systems using a common descriptor ΔG(OH*) has been constructed. We find that the systems having ΔG(OH*) values in the range of 0.40–0.70 eV can act as bifunctional electrocatalysts. Our study not only highlights the importance of metal and non-metal co-doped graphene as bifunctional catalysts but also can serve as a promising strategy for the design of efficient OER/ORR electrocatalysts. |
format | Online Article Text |
id | pubmed-9955129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-99551292023-02-27 Computational Insight into TM–N(x) Embedded Graphene Bifunctional Electrocatalysts for Oxygen Evolution and Reduction Reactions Dutta, Supriti Banerjee, Paramita Pati, Swapan K. ACS Phys Chem Au [Image: see text] Due to the energy crisis, development of bifunctional electrocatalysts for both oxygen evolution and reduction reactions is highly demanding. In this study, we have systematically investigated the bifunctional activity of metal (Co/Rh/Ir) and N co-doped graphene systems with varying N-dopant concentrations (TM–N(x)@G, x = 0, 2, 4) using first-principles calculations. Charge transfer from the metal sites to the adsorbed intermediates and the adsorption free energy of the intermediates play important roles to help understand the potential-determining step and overpotential values for oxygen evolution reaction (OER)/oxygen reduction reaction (ORR). A dual volcano plot for all the systems using a common descriptor ΔG(OH*) has been constructed. We find that the systems having ΔG(OH*) values in the range of 0.40–0.70 eV can act as bifunctional electrocatalysts. Our study not only highlights the importance of metal and non-metal co-doped graphene as bifunctional catalysts but also can serve as a promising strategy for the design of efficient OER/ORR electrocatalysts. American Chemical Society 2022-03-25 /pmc/articles/PMC9955129/ /pubmed/36855422 http://dx.doi.org/10.1021/acsphyschemau.2c00003 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Dutta, Supriti Banerjee, Paramita Pati, Swapan K. Computational Insight into TM–N(x) Embedded Graphene Bifunctional Electrocatalysts for Oxygen Evolution and Reduction Reactions |
title | Computational Insight into TM–N(x) Embedded Graphene Bifunctional Electrocatalysts
for Oxygen Evolution and Reduction Reactions |
title_full | Computational Insight into TM–N(x) Embedded Graphene Bifunctional Electrocatalysts
for Oxygen Evolution and Reduction Reactions |
title_fullStr | Computational Insight into TM–N(x) Embedded Graphene Bifunctional Electrocatalysts
for Oxygen Evolution and Reduction Reactions |
title_full_unstemmed | Computational Insight into TM–N(x) Embedded Graphene Bifunctional Electrocatalysts
for Oxygen Evolution and Reduction Reactions |
title_short | Computational Insight into TM–N(x) Embedded Graphene Bifunctional Electrocatalysts
for Oxygen Evolution and Reduction Reactions |
title_sort | computational insight into tm–n(x) embedded graphene bifunctional electrocatalysts
for oxygen evolution and reduction reactions |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955129/ https://www.ncbi.nlm.nih.gov/pubmed/36855422 http://dx.doi.org/10.1021/acsphyschemau.2c00003 |
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