Assessing Gaussian Process Regression and Permutationally Invariant Polynomial Approaches To Represent High-Dimensional Potential Energy Surfaces

标题
Assessing Gaussian Process Regression and Permutationally Invariant Polynomial Approaches To Represent High-Dimensional Potential Energy Surfaces
作者
关键词
-
出版物
Journal of Chemical Theory and Computation
Volume 14, Issue 7, Pages 3381-3396
出版商
American Chemical Society (ACS)
发表日期
2018-05-31
DOI
10.1021/acs.jctc.8b00298

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