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Filtering by: Journal Physical Chemistry Chemical Physics Remove constraint Journal: Physical Chemistry Chemical Physics Publisher Royal Society of Chemistry Remove constraint Publisher: Royal Society of Chemistry

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

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Liquid electrolyte informatics using an exhaustive search with linear regression

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Type of work

Dataset2

Keyword

Gaussian091
Li-ion battery1
battery1
electrolyte1
materials informatics1
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Language

English2

Publisher

Royal Society of Chemistry[remove]2

Resource type

Dataset2

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open2

Rights Statement Sim

Creative Commons BY Attribution 4.0 International1
Creative Commons BY-NC Attribution-NonCommercial 4.0 International1

Computational methods

density functional theory or electronic structure1

Data origin

simulations2

Material/Specimen

organic solvents1

Author

IGARASHI, Yasuhiko2
NAKAYAMA, Tomofumi2
OKADA, Masato2
SODEYAMA, Keitaro2
TATEYAMA, Yoshitaka2
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License

https://creativecommons.org/licenses/by/4.0/1

Journal

Physical Chemistry Chemical Physics[remove]2

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