极端条件下的物质与辐射（英文）2025，Vol.10Issue(3)：1-9,9.DOI:10.1063/5.0255385
Advances in high-pressure materials discovery enabled by machine learning
Advances in high-pressure materials discovery enabled by machine learning
Zhenyu Wang 1Xiaoshan Luo 2Qingchang Wang 3Heng Ge 3Pengyue Gao 3Wei Zhang 3Jian Lv 3Yanchao Wang3
作者信息
- 1. Key Laboratory of Material Simulation Methods and Software of Ministry of Education,College of Physics,Jilin University,Changchun 130012,People's Republic of China||International Center of Future Science,Jilin University,Changchun 130012,People's Republic of China
- 2. Key Laboratory of Material Simulation Methods and Software of Ministry of Education,College of Physics,Jilin University,Changchun 130012,People's Republic of China||State Key Laboratory of Superhard Materials,College of Physics,Jilin University,Changchun 130012,People's Republic of China
- 3. Key Laboratory of Material Simulation Methods and Software of Ministry of Education,College of Physics,Jilin University,Changchun 130012,People's Republic of China
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Zhenyu Wang,Xiaoshan Luo,Qingchang Wang,Heng Ge,Pengyue Gao,Wei Zhang,Jian Lv,Yanchao Wang..Advances in high-pressure materials discovery enabled by machine learning[J].极端条件下的物质与辐射（英文）,2025,10(3):1-9,9.基金项目
The work is supported by the National Key Research and Development Program of China(Grant No.2022YFA1402304),the National Natural Science Foundation of China(Grant Nos.12034009,12374005,52288102,52090024,and T2225013),the Fun-damental Research Funds for the Central Universities,and the Program for JLU Science and Technology Innovative Research Team. （Grant No.2022YFA1402304）
