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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 |
Appears in Collections: | Aurora harvest 4 Chemical Engineering publications |
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