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Communication: Fitting potential energy surfaces with fundamental invariant neural network
Author(s) -
Kejie Shao,
Jun Chen,
Zhiqiang Zhao,
Dong H. Zhang
Publication year - 2016
Publication title -
the journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/1.4961454
Subject(s) - invariant (physics) , artificial neural network , permutation (music) , invariant polynomial , potential energy , computer science , polynomial , algorithm , topology (electrical circuits) , mathematics , physics , quantum mechanics , artificial intelligence , mathematical analysis , combinatorics , matrix polynomial , acoustics

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