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The nature of active sites for carbon dioxide electroreduction over oxide-derived copper catalysts.

Authors :
Cheng, Dongfang
Zhao, Zhi-Jian
Zhang, Gong
Yang, Piaoping
Li, Lulu
Gao, Hui
Liu, Sihang
Chang, Xin
Chen, Sai
Wang, Tuo
Ozin, Geoffrey A.
Liu, Zhipan
Gong, Jinlong
Source :
Nature Communications; 1/15/2021, Vol. 12 Issue 1, p1-8, 8p
Publication Year :
2021

Abstract

The active sites for CO<subscript>2</subscript> electroreduction (CO<subscript>2</subscript>R) to multi-carbon (C<subscript>2+</subscript>) products over oxide-derived copper (OD-Cu) catalysts are under long-term intense debate. This paper describes the atomic structure motifs for product-specific active sites on OD-Cu catalysts in CO<subscript>2</subscript>R. Herein, we describe realistic OD-Cu surface models by simulating the oxide-derived process via the molecular dynamic simulation with neural network (NN) potential. After the analysis of over 150 surface sites through NN potential based high-throughput testing, coupled with density functional theory calculations, three square-like sites for C–C coupling are identified. Among them, Σ3 grain boundary like planar-square sites and convex-square sites are responsible for ethylene production while step-square sites, i.e. n(111) × (100), favor alcohols generation, due to the geometric effect for stabilizing acetaldehyde intermediates and destabilizing Cu–O interactions, which are quantitatively demonstrated by combined theoretical and experimental results. This finding provides fundamental insights into the origin of activity and selectivity over Cu-based catalysts and illustrates the value of our research framework in identifying active sites for complex heterogeneous catalysts. The active sites over oxide-derived copper (OD-Cu) catalysts for CO<subscript>2</subscript> electroreduction are unclear. Here, the authors show atom-level product-specific active sites on OD-Cu surface models, where planar and convex square sites are responsible for ethylene while the step square site favours alcohols generation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
148114737
Full Text :
https://doi.org/10.1038/s41467-020-20615-0