Towards Intuitively Interpretable AI in Materials Discovery: A Data-Driven Framework Emphasizing Material Similarity

Hieu-Chi Dam

Presentation information

Oral Session

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

[A5-O602] Oral 602

Sat. Dec 16, 2023 1:00 PM - 4:00 PM Session 5 (Room E)

Chair: Hiori Kino (NIMS), Milica Todorović (University of Turku), Toyohiro Chikyo (NIMS), Tetsuya Fukushima (AIST)

1:00 PM - 1:40 PM

[A5-O602-01 (Symposium Keynote)] Towards Intuitively Interpretable AI in Materials Discovery: A Data-Driven Framework Emphasizing Material Similarity

*Hieu-Chi Dam¹, Minh-Quyet Ha¹, Duong-Nguyen Nguyen¹, Van-Nam Huynh¹, Hiori Kino² (1. Japan Advanced Institute of Science and Technology (Japan), 2. National Institute for Materials Science (Japan))

Keywords:Materials Informatics, Interpretable AI, Theory of Evidence

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