Machine learning for interatomic potential models
Author(s) -
Tim Mueller,
Alberto Hernández,
Chuhong Wang
Publication year - 2020
Publication title -
the journal of chemical physics
Language(s) - Uncategorized
Resource type - Journals
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/1.5126336
Subject(s) - interatomic potential , computer science , data science , field (mathematics) , perspective (graphical) , machine learning , moment (physics) , artificial intelligence , molecular dynamics , physics , quantum mechanics , mathematics , pure mathematics
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