Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/129886
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Type: Journal article
Title: Highly selective two-electron electrocatalytic CO₂ reduction on single‐atom Cu catalysts
Other Titles: Highly selective two-electron electrocatalytic CO(2) reduction on single-atom Cu catalysts
Author: Xu, C.
Zhi, X.
Vasileff, A.
Wang, D.
Jin, B.
Jiao, Y.
Zheng, Y.
Qiao, S.
Citation: Small Structures, 2021; 2(1):1-7
Publisher: Wiley
Issue Date: 2021
ISSN: 2688-4062
2688-4062
Statement of
Responsibility: 
Chaochen Xu, Xing Zhi, Anthony Vasileff, Dan Wang, Bo Jin, Yan Jiao, Yao Zheng, and Shi-Zhang Qiao
Abstract: Cu‐based electrocatalysts with high catalytic selectivity for the CO₂ reduction reaction present a significant technological challenge. Herein, a catalyst comprised of Cu single atoms in a nitrogen‐doped graphene matrix (Cu–N₄–NG) is developed for highly selective electrocatalytic reduction of CO₂ to CO. The single‐atom structure and coordination environment of Cu–N₄–NG are identified by synchrotron‐based characterization. Compared to a conventional bulk Cu catalyst, Cu–N₄–NG achieves a Faradaic efficiency of 80.6% toward CO under a moderate applied potential of −1.0 V versus reversible hydrogen electrode (RHE). Kinetic experiments show that 1) the Cu–N₄ moiety favors the CO₂ activation step and 2) the moiety‐anchoring graphene facilitates water dissociation, which supplies protons for CO₂ reduction. Moreover, density functional theory (DFT) calculations reveal that CO₂ reduction is less hindered thermodynamically on Cu–N₄–NG compared to the competing hydrogen evolution reaction (HER) due to their limiting potential differences. Therefore, the highest CO selectivity is observed on Cu–N₄–NG over the bulk Cu catalyst due to more favorable kinetics and thermodynamics.
Keywords: Cu single-atom catalysts; density functional theory; electrocatalytic CO₂ reduction; Faradaic efficiency; limiting potential
Description: Published online: October 16, 2020
Rights: © 2020 Wiley-VCH GmbH
DOI: 10.1002/sstr.202000058
Grant ID: http://purl.org/au-research/grants/arc/DP160104866
http://purl.org/au-research/grants/arc/DP170104464
http://purl.org/au-research/grants/arc/FL170100154
Published version: http://dx.doi.org/10.1002/sstr.202000058
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Chemical Engineering publications

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