The 86th JSAP Autumn Meeting 2025
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Session Details

Oral presentation23 Joint Session N "Informatics" : 23.1 Joint Session N "Informatics"

[9a-S301-1~7]23.1 Joint Session N "Informatics"

Tue. Sep 9, 2025 9:30 AM - 11:30 AM JST
Tue. Sep 9, 2025 12:30 AM - 2:30 AM UTC
S301 (Lecture Hall South)
9:30 AM - 9:45 AM JST(12:30 AM - 12:45 AM UTC)

[9a-S301-1]Designing Materials with Property Values Near the Extrapolation Regions in Databases: Strengths of Gradient-Based Optimization and Limitations of Diffusion Models

〇Akihiro Fujii1, Yoshitaka Ushiku2, Koji Shimizu3, Anh Khoa Augustin Lu1,4,3, Satoshi Watanabe1 (1.Tokyo Univ., 2.OMRON SINIC X Corp., 3.AIST, 4.NIMS)
9:45 AM - 10:00 AM JST(12:45 AM - 1:00 AM UTC)

[9a-S301-2]Sim2Real transfer learning with chemistry-informed domain transformation

〇Yuta Yahagi1,2, Kiichi Obuchi1,2, Fumihiko Kosaka2, Kota Matsui3 (1.NEC, 2.AIST, 3.Kyoto Univ.)
10:00 AM - 10:15 AM JST(1:00 AM - 1:15 AM UTC)English Presentation

[9a-S301-3]Structure Prediction from Chemical Formula Using Periodic Descriptors

〇Yen-Ju Wu1, Yibin Xu1 (1.NIMS)
10:15 AM - 10:30 AM JST(1:15 AM - 1:30 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[9a-S301-4]Explainable Machine Learning for Elucidating Structure–Property Relationships in Carbon Nanotube Fibers

〇Daisuke Kimura1, Naoko Tajima1, Toshiya Okazaki1, Shun Muroga1 (1.AIST)
10:45 AM - 11:00 AM JST(1:45 AM - 2:00 AM UTC)

[9a-S301-5]Application of Machine Learning Potentials to Structural Phase Transitions and Dielectric Properties of BaTiO3

〇Daisuke Hirai1, Tomosato Kanakaga1, Sakyo Hirose1 (1.Murata Manufacturing Co., Ltd.)
11:00 AM - 11:15 AM JST(2:00 AM - 2:15 AM UTC)

[9a-S301-6]Total energy prediction of GeSn alloy semiconductors using extreme learning machine

〇Yusuke Noda1, Hibiki Bekku2, Koji Sueoka3 (1.Kyushu Inst. Technol., 2.Grad. Sch. Comput. Sci. Syst. Eng., Okayama Pref. Univ., 3.Fac. Comput. Sci. Syst. Eng., Okayama Pref. Univ.)
11:15 AM - 11:30 AM JST(2:15 AM - 2:30 AM UTC)English Presentation

[9a-S301-7]Stable and Functional Quaternary Heusler Alloys: A Machine Learning-Assisted High-Throughput First-Principles Exploration

〇(P)Enda Xiao1, Terumasa Tadano1 (1.NIMS)
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