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Filtering by: Author ISHIKAWA, Atsushi Creator SODEYAMA, Keitaro Keyword electrolyte Resource type Dataset Rights Statement Sim Creative Commons BY-NC Attribution-NonCommercial 4.0 International

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

Description/Abstract:: We combined a data science-driven method with quantum chemistry calculations, and applied it to the battery electrolyte problem. We perfo...
Keyword:: electrolyte, battery, and quantum chemistry
Resource Type:: Dataset
Data origin:: simulations
Author:: ISHIKAWA, Atsushi, SODEYAMA, Keitaro, IGARASHI, Yasuhiko, NAKAYAMA, Tomofumi, TATEYAMA, Yoshitaka, and OKADA, Masato
Journal:: Physical Chemistry Chemical Physics
Date Uploaded:: 24/09/2021
Date Modified:: 01/10/2021

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

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

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