Index Catalog // MDR

Start Over

Filtering by: Creator SODEYAMA, Keitaro Journal Physical Chemistry Chemical Physics Computational methods density functional theory or electronic structure Keyword electrolyte Resource type Dataset

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

Limit your search

Type of work

Keyword

Language

Publisher

Resource type

Visibility

Rights Statement Sim

Computational methods

Data origin

Author

Journal

Search Constraints

Search Results

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

Limit your search