JOURNAL ARTICLE

Computational Insight into TM–Nx Embedded Graphene Bifunctional Electrocatalysts for Oxygen Evolution and Reduction Reactions

Supriti DuttaParamita BanerjeeSwapan K. Pati

Year: 2022 Journal:   ACS Physical Chemistry Au Vol: 2 (4)Pages: 305-315   Publisher: American Chemical Society

Abstract

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.

Keywords:
Bifunctional Overpotential Oxygen evolution Graphene Dopant Catalysis Redox Chemistry Oxygen Bifunctional catalyst Metal Materials science Inorganic chemistry Nanotechnology Doping Electrochemistry Physical chemistry Organic chemistry Electrode

Metrics

22
Cited By
1.29
FWCI (Field Weighted Citation Impact)
67
Refs
0.72
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Electrocatalysts for Energy Conversion
Physical Sciences →  Energy →  Renewable Energy, Sustainability and the Environment
Fuel Cells and Related Materials
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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