journal article·2026-05Open access

Nucleation‐Controlled Reconstruction of CuO x for Selective CO 2 Electroreduction

Ying Ying Ch'ng, Zhipeng Ma, Ming Zhang, Shujie Zhou, Varun Kundi, Priyank Vijaya Kumar, Wenyu Zhong, Yuwei Yang, Jitraporn Vongsvivut, Qinfen Gu, Xiaoxuan Luo, Lixue Jiang, Rahman Daiyan, Zhaojun Han, Rose Amal

Advanced Functional Materials· Volume 36· Issue 37

Abstract

ABSTRACT Copper‐based electrocatalysts are unique in reducing CO 2 into multicarbon products. However, the reconstruction of CuO x precatalysts into oxide‐derived copper (OD‐Cu) during the CO 2 electroreduction reaction (CO 2 RR) remains poorly understood, hindering rational catalyst design. Herein, we reveal that precursor Cu(OH) 2 nucleation dynamics govern facet exposure of Cu 2 O (111)/(200), and the oxygen vacancy (O v ) formation in the CuO x precatalysts, thereby influencing the competition between CO 2 RR and hydrogen evolution reaction (HER) in the reconstructed OD‐Cu. Two types of CuO x precatalysts are obtained by controlling the nucleation kinetics: slow‐nucleated CuO x (CuO xSN ) and fast‐nucleated CuO x (CuO xFN ). CuO xFN with excess O v and a lower ratio of Cu 2 O (111)/(200) is generated by high‐index Cu(OH) 2 facets, whereas low‐index Cu(OH) 2 facets develop CuO xSN with fewer O v and a higher ratio of Cu 2 O (111)/(200). CuO xFN reconstructs to under‐coordinated Cu sites that enhance HER, while CuO xSN reconstructs to higher‐coordinated Cu sites leading to greater CO 2 RR selectivity (FE CO2RR = 77% at −3.3 V RHE , j = 359 mA cm −2 ). In‐situ and ex‐situ analyses confirm that a higher ratio of Cu 2 O (111)/(200) and a lower ratio of O v in the CuO xSN facilitate selective CO 2 RR. This work establishes an effective nucleation control strategy for O v ‐related defects engineering and the facets exposure in CuO x precatalyst in tuning OD‐Cu evolution for tailored CO 2 RR.
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Research context

OpenAlex topics: CO2 Reduction Techniques and Catalysts · Catalysts for Methane Reforming · Ammonia Synthesis and Nitrogen Reduction

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Chemical Engineering The University of New South Wales Sydney New South Wales Australia

ANSTO‒Australian Synchrotron Clayton Victoria Australia

School of Minerals and Energy Resources Engineering The University of New South Wales Sydney New South Wales Australia

Eastern Institute of Technology Ningbo Zhejiang China

Funding

Australian Research Council · University of New South Wales

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