Issue 45, 2022

Transition metal single atom embedded GaN monolayer surface for efficient and selective CO2 electroreduction

Abstract

Single-atom catalysts (SACs) have attracted attention for electrochemical conversion of CO2 into valuable products using renewable electricity. Herein, by means of density functional theory (DFT) computations, we report a descriptor-based design principle to investigate the potential of 3d/4d and 5d transition metal (TM) single atoms (SAs) embedded gallium nitride (GaN) monolayers as electrocatalysts for the CO2 reduction reaction (CO2RR). We show that both initial CO2 adsorption and activation are hugely influenced by an intricate interplay between the local coordination environment, surface charge density and electronic structure properties of catalysts. Based on this analysis, we readily identified 15 TM-SACs which are capable of activating an inert CO2 molecule to form a carbon dioxide radical anion (CO2˙). Our mechanistic analysis and descriptor-based screening approach predicted Mn/Rh/Os/Ir-SAC to be one of the most promising CO2RR electrocatalysts. Remarkably, the proposed lowest free energy pathway analysis indicated that the Rh-SAC has the best activity towards formation of HCOOH with a limiting potential (UL) of −0.42 V, while the Ir-SAC exhibits a better catalytic activity for CH4 production with a UL of −0.48 V and a selectivity of 97% against the competing HER process. Our findings provide a deep insight into designing highly selective and efficient CO2RR electrocatalysts.

Graphical abstract: Transition metal single atom embedded GaN monolayer surface for efficient and selective CO2 electroreduction

Supplementary files

Article information

Article type
Paper
Submitted
04 Sep 2022
Accepted
22 Oct 2022
First published
24 Oct 2022

J. Mater. Chem. A, 2022,10, 24280-24289

Transition metal single atom embedded GaN monolayer surface for efficient and selective CO2 electroreduction

M. Umer, S. Umer, R. Anand, J. Mun, M. Zafari, G. Lee and K. S. Kim, J. Mater. Chem. A, 2022, 10, 24280 DOI: 10.1039/D2TA06991A

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