Reaction-Driven Varieties of Active Sites on Cu(100) in Electrochemical CO<sub>2</sub> Reduction Reaction

The development of electrochemical CO2 reduction reaction (eCO2RR) on Cu-based electrodes is one of the promising strategies for environmentally friendly progress. Recent experimental findings have shown that the low-index single-crystal Cu surfaces undergo significant reconstruction by CO as reactants/products, greatly affecting their catalytic activity. It is crucial to understand how the reconstruction takes place in real time and affects the catalytic performance at atomic scale. Herein, we conducted a systematic investigation on the surface reconstruction of Cu(100) and its influence on eCO2RR using potential-dependent grand canonical Monte Carlo (GCMC), environmental kinetic Monte Carlo (EKMC), and density functional theory (DFT) methods. At the experimental onset potential of CO formation, we elucidate the atomistic mechanism of surface reconstruction under CO and H coadsorption. Adsorbate-driven formation of adatoms and vacancies appears on the surface first, and then square-like clusters are generated via the adatom aggregation. The reconstructed surfaces are identified to be stable for a long time (over hours) at a wide range of electrode potentials, which enhances the catalytic activity. Moreover, the formation of products shows an ensemble effect: Surface Cu atom vacancy is the most favorable for the formation of methane; adatom is the most favorable for the formation of hydrogen and formic acid; and 4-atom cluster is the most favorable for the formation of CO and C2 products. These results highlight the possibility of tuning the ensemble of reaction-driven species to enhance eCO2RR selectivity on the Cu(100) surface.

Authors

Institutions

Publication Details

Journal
ACS Catalysis
Published
2025-04-07
DOI
https://doi.org/10.1021/acscatal.4c07168
Citations
16
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
5.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reaction-Driven Varieties of Active Sites on Cu(100) in Electrochemical CO2 Reduction Reaction

Shuoqi Zhang, Beien Zhu, Yi Gao, Qingli Tang
16 citations
ACS Catalysis
CO2 Reduction Techniques and Catalysts
5.82
article

Reaction-Driven Varieties of Active Sites on Cu(100) in Electrochemical CO2 Reduction Reaction

Shuoqi Zhang, Beien Zhu, Yi Gao, Qingli Tang
article en
16 citations

Abstract

The development of electrochemical CO2 reduction reaction (eCO2RR) on Cu-based electrodes is one of the promising strategies for environmentally friendly progress. Recent experimental findings have shown that the low-index single-crystal Cu surfaces undergo significant reconstruction by CO as reactants/products, greatly affecting their catalytic activity. It is crucial to understand how the reconstruction takes place in real time and affects the catalytic performance at atomic scale. Herein, we conducted a systematic investigation on the surface reconstruction of Cu(100) and its influence on eCO2RR using potential-dependent grand canonical Monte Carlo (GCMC), environmental kinetic Monte Carlo (EKMC), and density functional theory (DFT) methods. At the experimental onset potential of CO formation, we elucidate the atomistic mechanism of surface reconstruction under CO and H coadsorption. Adsorbate-driven formation of adatoms and vacancies appears on the surface first, and then square-like clusters are generated via the adatom aggregation. The reconstructed surfaces are identified to be stable for a long time (over hours) at a wide range of electrode potentials, which enhances the catalytic activity. Moreover, the formation of products shows an ensemble effect: Surface Cu atom vacancy is the most favorable for the formation of methane; adatom is the most favorable for the formation of hydrogen and formic acid; and 4-atom cluster is the most favorable for the formation of CO and C2 products. These results highlight the possibility of tuning the ensemble of reaction-driven species to enhance eCO2RR selectivity on the Cu(100) surface.

ACS CatalysisVol. 15(8)
Chinese Academy of Sciences (CN), Shanghai Advanced Research Institute (CN), Shanghai Institute of Applied Physics (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 3%
CO2 Reduction Techniques and Catalysts
5.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.