General-purpose machine-learned potential for 16 elemental metals and their alloys

Keke Song(University of Science and Technology Beijing), Zheyong Fan(Bohai University), Ting Liang(Shenzhen University), Wanlin Guo(Nanjing University of Aeronautics and Astronautics), Haikuan Dong(Bohai University), Junjie Wang(Collaborative Innovation Center of Advanced Microstructures), Yanjing Su(University of Science and Technology Beijing), Paul Erhart, Ke Xu(Chinese University of Hong Kong), Ping Qian(Huazhong Agricultural University), Zhuhua Zhang(Nanjing University of Aeronautics and Astronautics), Penghua Ying(Tel Aviv University), Shunda Chen(George Washington University), Tapio Ala-Nissilä(Loughborough University), Jiahui Liu(University of Science and Technology Beijing), Yong Wang(Collaborative Innovation Center of Advanced Microstructures), Yue Chen(Nanjing Medical University), Jian Sun(Collaborative Innovation Center of Advanced Microstructures), Rui Zhao(Hunan University), Zhiqiang Zhao(Nanjing University of Aeronautics and Astronautics), Nan Xu(Quzhou University), Zezhu Zeng(University of Hong Kong), Shuang Lyu(University of Hong Kong), Shirong Liang(Harbin Institute of Technology), Jiuyang Shi(Collaborative Innovation Center of Advanced Microstructures), Eric Lindgren(Chalmers University of Technology), Yanzhou Wang(Collaborative Innovation Center of Advanced Microstructures), Ligang Sun(Harbin Institute of Technology)
Nature Communications
November 25, 2024
Cited by 161


Related Papers