Quantifying the Driving Force for the Surface Reconstruction of Copper under Electrochemical Reduction of CO<sub>2</sub> by First-Principles Simulations
Cu is one of the most widely used catalysts in the electrochemical CO<sub>2</sub> reduction reaction (CO<sub>2</sub>RR) due to its unique ability to convert CO<sub>2</sub> to C<sub>2+</sub> products. However, surface reconstruction of Cu significantly affects the activity and stability of Cu catalyst. In this work, density functional theory (DFT) coupled with implicit solvation ab initio molecular dynamics (AIMD) was employed to unveil the possible migration pathways of surface Cu atoms during the structural evolution processes under CO<sub>2</sub>RR. Surface energy, as the intrinsic thermodynamic driving force of surface reconstruction, is distributed to individual surface Cu atoms and shows a quasi-linear relationship with their generalized coordination number (GCN), demonstrating a maximum driving force of ∼1.10 eV under the applied electric field. The *CO adsorbate weakens the binding of surface Cu atoms, resulting in a maximum vertical displacement of Cu atoms of up to 0.8 Å. In contrast, *H on Cu(100) at high coverage induces a horizontal extruding effect on the surface Cu atoms, causing them to move up to 2 Å. The observable migration of surface Cu atoms in the AIMD run occurs only on Cu adatoms, with the adsorption of pure *H or coadsorption of *CO and *H.
Authors
- Hongjiao Li (ORCID: https://orcid.org/0000-0002-0388-6818)
- Siyang Tang (ORCID: https://orcid.org/0000-0003-4757-3992)
- Shan Zhong (ORCID: https://orcid.org/0000-0002-0247-6788)
- Ming Jiang (ORCID: https://orcid.org/0000-0002-1661-0538)
- Bin Liang (ORCID: https://orcid.org/0000-0003-2942-4686)
- Shu Xiao
- Yixin Yang (ORCID: https://orcid.org/0000-0001-5717-7075)
Institutions
- Sichuan University (CN)
- National Institute of Clean and Low-Carbon Energy (CN)
Publication Details
- Journal
- Langmuir
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1021/acs.langmuir.5c00887
- Citations
- 1
- Primary Topic
- CO2 Reduction Techniques and Catalysts
- Type
- article
- Field-Weighted Citation Impact
- 0.36
Funders
- National Natural Science Foundation of China