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

Title
Comparison of permutationally invariant polynomials, neural networks, and Gaussian approximation potentials in representing water interactions through many-body expansions
Authors
Keywords
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Journal
JOURNAL OF CHEMICAL PHYSICS
Volume 148, Issue 24, Pages 241725
Publisher
AIP Publishing
Online
2018-04-09
DOI
10.1063/1.5024577

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