eScience2026，Vol.6Issue(3)：P.242-251,10.DOI:10.1016/j.esci.2025.100484
Machine-learning guided design of non-precious-metal high-entropy electrocatalysts for alkaline hydrogen evolution
Shiyu Zhen 1Yong Wang 2Yuhan Wang 3Jianhao Wang 1Xiangfu Niu 1Kailang Li 1Dong Su 3Haohong Duan 4Baorui Jia 2Mingli Qin 2Liang Zhang1
作者信息
- 1. Center for Combustion Energy,Tsinghua University,Beijing 100084,China School of Vehicle and Mobility,Tsinghua University,Beijing 100084,China State Key Laboratory of Intelligent Green Vehicle and Mobility,Tsinghua University,Beijing 100084,China
- 2. Institute for Advanced Materials and Technology,University of Science and Technology Beijing,Beijing 100083,China
- 3. Beijing National Laboratory for Condensed Matter Physics,Institute of Physics,Chinese Academy of Sciences,Beijing 100190,China
- 4. Department of Chemistry,Tsinghua University,Beijing 100084,China Engineering Research Center of Advanced Rare Earth Materials,(Ministry of Education),Department of Chemistry,Tsinghua University,Beijing 100084,China
- 折叠
摘要
关键词
High entropy alloys/Hydrogen electrocatalysis/Machine-learning/Data-driven/High-throughput calculation分类
化学化工引用本文复制引用
Shiyu Zhen,Yong Wang,Yuhan Wang,Jianhao Wang,Xiangfu Niu,Kailang Li,Dong Su,Haohong Duan,Baorui Jia,Mingli Qin,Liang Zhang..Machine-learning guided design of non-precious-metal high-entropy electrocatalysts for alkaline hydrogen evolution[J].eScience,2026,6(3):P.242-251,10.基金项目
sponsored by Tsinghua University-Toyota Joint Research Center for Hydrogen Energy and Fuel Cell Technology of Vehicles. （）
