Open AccessDevelopment of a deep machine learning interatomic potential for metalloid-containing Pd-Si compounds
Author(s) -
Tongqi Wen,
CaiZhuang Wang,
M. J. Kramer,
Yang Sun,
Beilin Ye,
Haidi Wang,
XueYuan Liu,
Chao Zhang,
Feng Zhang,
KaiMing Ho,
Nan Wang
Publication year - 2019
Publication title -
physical review. b./physical review. b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.78
H-Index - 465
eISSN - 2469-9969
pISSN - 2469-9950
DOI - 10.1103/physrevb.100.174101
Subject(s) - interatomic potential , atom (system on chip) , ground state , molecular dynamics , physics , artificial neural network , density functional theory , machine learning , crystallography , algorithm , materials science , atomic physics , computer science , chemistry , quantum mechanics , embedded system
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