Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Dutta, Supriti, Banerjee, Paramita, Pati, Swapan K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
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
_version_ 1784894280625553408
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
work_keys_str_mv AT duttasupriti computationalinsightintotmnxembeddedgraphenebifunctionalelectrocatalystsforoxygenevolutionandreductionreactions
AT banerjeeparamita computationalinsightintotmnxembeddedgraphenebifunctionalelectrocatalystsforoxygenevolutionandreductionreactions
AT patiswapank computationalinsightintotmnxembeddedgraphenebifunctionalelectrocatalystsforoxygenevolutionandreductionreactions