The 87th JSAP Autumn Meeting 2026
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Session Details

Oral presentation18 Informatics : 18.1 Materials Informatics

[8a-N302-1~11]18.1 Materials Informatics

Tue. Sep 8, 2026 9:00 AM - 12:00 PM JST
Tue. Sep 8, 2026 12:00 AM - 3:00 AM UTC
N302 (First Year Education Bld. N Block)
9:00 AM - 9:15 AM JST(12:00 AM - 12:15 AM UTC)English Presentation

[8a-N302-1]How Reliable Are Machine-Learning Predictions of Thermoelectric Performance?

〇(PC)Andrei Novitskii1, Vladimir Baturin2,3, Guillaume Lambard3, Jean-Claude Crivello2, Takao Mori1,4 (1.MANA, NIMS, 2.LINK, NIMS, 3.CBRM, NIMS, 4.Tsukuba Univ.)
9:15 AM - 9:30 AM JST(12:15 AM - 12:30 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[8a-N302-2]Evaluating Poincaré Embeddings for Self-Supervised Materials Representation Learning

〇Yuya Hori1, Anh Khoa Augustin Lu1,2, Akihiro Fujii1, Satoshi Watanabe1 (1.Univ. Tokyo, 2.NIMS)
9:30 AM - 9:45 AM JST(12:30 AM - 12:45 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[8a-N302-3]Reconstruction of 3D Crystal Structures from Density of States and Partial Density of States

〇Haruki Nagata1, Hidekazu Ikeno1 (1.Osaka Metropolitan Univ.)
9:45 AM - 10:00 AM JST(12:45 AM - 1:00 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[8a-N302-4]Estimating Reliable Feature Importance by Integrating Generative AI Prior Knowledge and Bayesian Model Averaging for Materials Discovery

〇Yuki Namiuchi1, Yuka Kitamura2, Kan Hatakeyama3, Yuya Oaki2, Yasuhiko Igarashi1 (1.Tsukuba Univ., 2.Keio Univ., 3.Tokyo Univ.)
10:00 AM - 10:15 AM JST(1:00 AM - 1:15 AM UTC)

[8a-N302-5]Interpreting the Decision-Making Rationale for Autonomous Material Discovery Using

〇KOHEI KATSUDA1, Yoshida Naoki1, Iwabuchi Yutaro2, Iwasaki Yuma2, Igarashi Yasuhiko1,2 (1.Tsukuba Univ., 2.NIMS)
10:15 AM - 10:30 AM JST(1:15 AM - 1:30 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[8a-N302-6]Development of a Grad-CAM-Based Atomic-Site-Level Interpretation Method for Crystal Graph Neural Networks

〇(M2)Ryoma Yamamoto1, Fumiyasu Oba1, Akira Takahashi1 (1.Inst. of Sci. Tokyo)
10:45 AM - 11:00 AM JST(1:45 AM - 2:00 AM UTC)

[8a-N302-7]Forward Prediction of LC-MS/MS Spectra Using a Chemical Language Model and Stepwise Learning

〇(B)Aoi Takahashi1, Satoki Muto1, Takashi Fujii1, Takahiro Umemoto1, Akiko Kumada1, Masahiro Sato1 (1.Tokyo Univ.)
11:00 AM - 11:15 AM JST(2:00 AM - 2:15 AM UTC)

[8a-N302-8]Physics-Based Intermediate Feature Generation for Plasma Process Prediction Based on Plasma and Material Information Science

〇KUNIHIRO KAMATAKI1, Sukma Fitriani2, Kazuki Nagamine1,2, Yosei Kurosaki1, Tsukasa Masamoto1,2, Daisuke Yamashita1, Takamasa Okumura1, Naho Itagaki1, Kazunori Koga1, Masaharu Shiratani1 (1.Kyushu Univ. ISEE., 2.Kyushu Univ. IMI.)
11:15 AM - 11:30 AM JST(2:15 AM - 2:30 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[8a-N302-9]Machine Learning Analysis of the Effect of the Spacer Structure on the PFAS’s aggregation

〇Shun Konno1, Tomoya Oonuki1, Taisuke Araki1, Takeshi Hasegawa1 (1.ICR, Kyoto Univ.)
11:30 AM - 11:45 AM JST(2:30 AM - 2:45 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[8a-N302-10]Application of Machine Learning Techniques to Multielement-doped Hematite Photocatalysts

〇Takuma Nishimura1, Yoshitaka Kumabe1,2, Yosuke Harashima3,4, Mikya Fujii3,4,5, Takashi Tachikawa1,2 (1.Grad. Sch. of Sci., Kobe Univ., 2.CLiPI, Kobe Univ., 3.MS, NAIST, 4.DSC, NAIST, 5.CMP, NAIST)
11:45 AM - 12:00 PM JST(2:45 AM - 3:00 AM UTC)

[8a-N302-11]Machine learning-based dispersion optimizer for carbon nanotubes

〇Hirokuni Jintoku1 (1.AIST)
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