Machine learning-assisted computational screening of high-entropy alloy catalysts for HCOOH decomposition
Machine-learning combined with DFT calculations and microkinetic modeling accelerates high-entropy alloy catalyst discovery for HCOOH decomposition.
Authors
- Zhenzhou Su
- Keju Sun (ORCID: https://orcid.org/0000-0001-8791-4646)
- Xin Liu (ORCID: https://orcid.org/0000-0003-4420-0912)
- Hai‐Yan Su (ORCID: https://orcid.org/0000-0001-9326-9647)
- Jianlin Lu
- Y.Z. Chen (ORCID: https://orcid.org/0000-0001-5277-5244)
- Hengfei He
- Xiufang Ma
- Changlin Yu (ORCID: https://orcid.org/0000-0003-4112-8513)
Institutions
- Shenzhen University (CN)
- Dongguan University of Technology (CN)
- Yanshan University (CN)
- Guangdong University of Petrochemical Technology (CN)
Publication Details
- Journal
- Journal of Materials Chemistry A
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5ta05112f
- Citations
- 4
- Primary Topic
- Catalytic Processes in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 2.07