Machine learning-assisted exploration of the interfacial valence electron fitting rule for MBene-based single-atom catalysts
Valence electron fitting rules for OER intermediate adsorption, serving as a correction to the d-band center theory. Machine learning-assisted exploration of activity origins and adsorption energy descriptor construction for MBene-type SACs.
Authors
- Hongkuan Yuan (ORCID: https://orcid.org/0000-0002-2075-9327)
- Zhiguo Wang (ORCID: https://orcid.org/0000-0003-0343-7278)
- L. Zeng (ORCID: https://orcid.org/0000-0001-5856-3912)
- Weizhi Tian (ORCID: https://orcid.org/0000-0002-0572-7052)
- Zhikai Gao
- Yuhang Zhou (ORCID: https://orcid.org/0009-0009-1396-8620)
- Feng Rong (ORCID: https://orcid.org/0000-0002-1665-2092)
- Zishan Luo
- Hong Cui (ORCID: https://orcid.org/0000-0003-0537-5533)
- Hang Zhang (ORCID: https://orcid.org/0000-0001-5570-8522)
- Lingxia Jin (ORCID: https://orcid.org/0000-0003-2645-0512)
- Xi Sun (ORCID: https://orcid.org/0000-0002-9260-5642)
- Tiren Peng
Institutions
- Southwest University (CN)
- Shaanxi University of Technology (CN)
Publication Details
- Journal
- Journal of Materials Chemistry A
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5ta04324g
- Citations
- 1
- Primary Topic
- Electrocatalysts for Energy Conversion
- Type
- article
- Field-Weighted Citation Impact
- 0.36
Funders
- National Natural Science Foundation of China
- Education Department of Shaanxi Province
- Natural Science Basic Research Program of Shaanxi Province