Comparison of permutationally invariant polynomials, neural networks, and Gaussian approximation potentials in representing water interactions through many-body expansions

标题
Comparison of permutationally invariant polynomials, neural networks, and Gaussian approximation potentials in representing water interactions through many-body expansions
作者
关键词
-
出版物
JOURNAL OF CHEMICAL PHYSICS
Volume 148, Issue 24, Pages 241725
出版商
AIP Publishing
发表日期
2018-04-09
DOI
10.1063/1.5024577

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