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For: Burn M, Popelier PLA. Gaussian Process Regression Models for Predicting Atomic Energies and Multipole Moments. J Chem Theory Comput 2023;19:1370-1380. [PMID: 36757024 PMCID: PMC9979601 DOI: 10.1021/acs.jctc.2c00731] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]

For:	Burn M, Popelier PLA. Gaussian Process Regression Models for Predicting Atomic Energies and Multipole Moments. J Chem Theory Comput 2023;19:1370-1380. [PMID: 36757024 PMCID: PMC9979601 DOI: 10.1021/acs.jctc.2c00731] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]

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(The first 100,000 artilces are displayed in RCA.)