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Royal Society of Chemistry, Physical Chemistry Chemical Physics, 48(21), p. 26399-26405, 2019

DOI: 10.1039/c9cp03679b

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Machine learning prediction of coordination energies for alkali group elements in battery electrolyte solvents

Journal article published in 2019 by Atsushi Ishikawa ORCID, Keitaro Sodeyama ORCID, Yasuhiko Igarashi, Tomofumi Nakayama ORCID, Yoshitaka Tateyama ORCID, Masato Okada ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Coordination energy of five ion species to 70 electrolyte solvents are predicted by machine learning combined with first-principle calculation.