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Quasi-Copper-Mers Enable High-Performance Catalysis for CO2 Reduction.

Authors :
Jing Yang
Ximeng Liu
Zhao Li
Shibo Xi
Jianguo Sun
Hao Yuan
Weihao Liu
Tuo Wang
Yulin Gao
Haimei Wang
Junjie Wang
Jun Song Chen
Rui Wu
Yong-Wei Zhang
John Wang
Source :
Advanced Science; 10/17/2023, Vol. 10 Issue 29, p1-8, 8p
Publication Year :
2023

Abstract

As the atmospheric carbon dioxide (CO<subscript>2</subscript>) level keeps hitting the new record, humanity is facing an ever-daunting challenge to efficiently mitigate CO<subscript>2</subscript> from the atmosphere. Though electrochemical CO<subscript>2</subscript> reduction presents a promising pathway to convert CO<subscript>2</subscript> to valuable fuels and chemicals, the general lack of suitable electrocatalysts with high activity and selectivity severely constrains this approach. Herein, a novel class of electrocatalysts is investigated, the quasi-copper-mers, in which the CuN<subscript>4</subscript> rather than Cu atom itself serve as the basic building block. The respective quasi-copper-monomers, -dimers, and -trimers hosted in a graphene-like substrate are first synthesized and then performed both experimental characterization and density functional theory (DFT) calculations to examine their atomic structures, evaluate their electrocatalytical performance and understand their underlying mechanisms. The experimental results show that the quasi-copper-trimers not only outperform the quasi-copper-dimer and quasi-copper-monomer when catalyzing CO<subscript>2</subscript> to CO, it also shows a superior selectivity against the competing hydrogen evolution reaction (HER). The DFT calculations not only support the experimental observations, but also reveal the volcano curve and the physical origin for the qausi-copper-trimer superiority. The present work thus presents a new strategy in the design of high-performance electrocatalysts with high activity and selectivity. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21983844
Volume :
10
Issue :
29
Database :
Complementary Index
Journal :
Advanced Science
Publication Type :
Academic Journal
Accession number :
173775390
Full Text :
https://doi.org/10.1002/advs.202303297