Interpretable machine learning for accelerated discovery of intermediate-temperature proton-conducting oxides

Yoshihiro Yamazaki

Presentation information

Oral Session

A. Fundamentals » [A-1] New Methodology for Developing Innovative Materials

[A1-O301] Oral 301

Wed. Dec 13, 2023 10:00 AM - 12:20 PM Session 5 (Room E)

Chair: Satoshi Itoh (Foundation for Computational Science)

11:00 AM - 11:20 AM

[A1-O301-03] Interpretable machine learning for accelerated discovery of intermediate-temperature proton-conducting oxides

*Yoshihiro Yamazaki¹, Kota Tsujikawa¹, Junji Hyodo¹, Susumu Fujii², Shusuke Kasamatsu³ (1. Kyushu University (Japan), 2. Osaka University (Japan), 3. Yamagata University (Japan))

Keywords:Proton-conducting oxides, proton ceramic fuel cells, interpretable machine learning, perovskite

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