Work

Machine learning enhanced empirical potentials for metals and alloys

Year: 2021

Type: article

Source: Computer Physics Communications

DOI: 10.1016/j.cpc.2021.108132

Authors: Xin Chen, Li-Fang Wang, Xing-Yu Gao, Ya-Fan Zhao, De-Ye Lin, Wei-Dong Chu, Hai-Feng Song

Institutions: Institute of Applied Physics and Computational Mathematics, CAEP Software Center for High Performance Numerical Simulation

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China, Science Challenge Project

Awards: 金属铀力场模型构建与冲击动力学机制模拟研究, G3278527128, G695997563, G8245533493, G8938118268

OpenAlex ID: W3188355235

FWCI: 0.456

Cites: 58

Cited by: 11

Related to: 10