Operando XAFS Deciphering Dynamic Evolution of Heteronuclear Cu–Ni From Atomic Sites to Atomic Clusters for Enhanced CO<sub>2</sub> Electroreduction

Abstract Revealing the dynamic evolution of atomic‐level active sites during catalytic reactions is critical for identifying true catalytic centers and optimizing the adsorption of reaction intermediates. However, elucidating the dynamic atomic/electronic transformation mechanisms of metal sites in multimetallic systems and achieving atomic‐level control remains challenging. Here, we report a potential‐dependent in‐plane atomic reconstruction intrinsic to Cu–Ni heteronuclear atomic sites during the electrocatalytic CO 2 reduction reaction (eCO 2 RR). Operando X‐ray spectroscopy and microscopy unveil the transformation of asymmetric Cu–Ni dimers into fully exposed Cu x –Ni atomic clusters (Cu x –Ni ACs, x = 3–7) at potentials from −0.7 to −1.2 V versus RHE, anchored on porous carbon through N/S coordination. The Cu‐rich evolution reshapes geometric structures of active sites, inducing gradual electron localization, thereby optimizing the adsorption energy of CO 2 intermediates as evidenced by operando measurements and theoretical analysis. Specifically, the tailored Cu 5 –Ni ACs formed at −0.9 V reduce the antibonding orbital occupancy between Cu 3 d and C 2 p states, facilitating CO 2 protonation and enhancing eCO 2 RR kinetics. These findings demonstrate high CO selectivity and catalytic stability, providing fundamental insights into the dynamic reconstruction and catalytic mechanism of atomic‐scale active sites.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie
Published
2025-06-21
DOI
https://doi.org/10.1002/ange.202508932
Citations
4
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
1.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Operando XAFS Deciphering Dynamic Evolution of Heteronuclear Cu–Ni From Atomic Sites to Atomic Clusters for Enhanced CO2 Electroreduction

Kai Dai, Yong Jiang, Chunfeng Shao, Yongpeng Xia et al.
4 citations
Angewandte Chemie
CO2 Reduction Techniques and Catalysts
1.45
article

Operando XAFS Deciphering Dynamic Evolution of Heteronuclear Cu–Ni From Atomic Sites to Atomic Clusters for Enhanced CO2 Electroreduction

Kai Dai, Yong Jiang, Chunfeng Shao, Yongpeng Xia, Di Shen, Yong Chen, Kehao Cheng
article en
4 citations

Abstract

Abstract Revealing the dynamic evolution of atomic‐level active sites during catalytic reactions is critical for identifying true catalytic centers and optimizing the adsorption of reaction intermediates. However, elucidating the dynamic atomic/electronic transformation mechanisms of metal sites in multimetallic systems and achieving atomic‐level control remains challenging. Here, we report a potential‐dependent in‐plane atomic reconstruction intrinsic to Cu–Ni heteronuclear atomic sites during the electrocatalytic CO 2 reduction reaction (eCO 2 RR). Operando X‐ray spectroscopy and microscopy unveil the transformation of asymmetric Cu–Ni dimers into fully exposed Cu x –Ni atomic clusters (Cu x –Ni ACs, x = 3–7) at potentials from −0.7 to −1.2 V versus RHE, anchored on porous carbon through N/S coordination. The Cu‐rich evolution reshapes geometric structures of active sites, inducing gradual electron localization, thereby optimizing the adsorption energy of CO 2 intermediates as evidenced by operando measurements and theoretical analysis. Specifically, the tailored Cu 5 –Ni ACs formed at −0.9 V reduce the antibonding orbital occupancy between Cu 3 d and C 2 p states, facilitating CO 2 protonation and enhancing eCO 2 RR kinetics. These findings demonstrate high CO selectivity and catalytic stability, providing fundamental insights into the dynamic reconstruction and catalytic mechanism of atomic‐scale active sites.

Angewandte ChemieVol. 137(34)
Huaibei Normal University (CN), Chinese Academy of Sciences (CN), Shanghai Advanced Research Institute (CN), Shanghai Institute of Applied Physics (CN), Technical Institute of Physics and Chemistry (CN), Guilin University of Electronic Technology (CN), Heilongjiang University (CN), University of Hong Kong (HK)
Openalex Percentile: Top 18%
CO2 Reduction Techniques and Catalysts
1.45
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.