MRM2023/IUMRS-ICA2023

Presentation information

Poster Session

A. Fundamentals » [A-5] Advanced Algorithms and Tools for Materials Informatics

[A5-P501] Poster 501

Fri. Dec 15, 2023 10:00 AM - 12:00 PM Poster (Annex)

[A5-P501-40] Quantitative expression of electrode potential by machine learning analysis and liquid Madelung potential

*Norio Takenaka1, Seongjae Ko1, Atsushi Kitada1, Masanobu Nakayama2, Atsuo Yamada1 (1. The Univ. of Tokyo (Japan), 2. Nagoya Inst. of Tech. (Japan))

Keywords:Electrode potential, Machine learning, Liquid Madelung potential, Battery

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