The 73rd JSAP Spring Meeting 2026
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Session Details

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

[18p-S2_204-1~10]23.1 Joint Session N "Informatics"

Wed. Mar 18, 2026 2:00 PM - 4:45 PM JST
Wed. Mar 18, 2026 5:00 AM - 7:45 AM UTC
S2_204 (South Bldg. 2)
2:00 PM - 2:15 PM JST(5:00 AM - 5:15 AM UTC)

[18p-S2_204-1]Bayesian optimization of oxide thin-film growth by weighting the acquisition function using physics-based information

〇Yuuki Wakabayashi1, Takuma Otsuka2, Yoshiharu Krockenberger1, Yoshitaka Taniyasu1 (1.NTT BRL, 2.NTT CS lab.TT)
2:15 PM - 2:30 PM JST(5:15 AM - 5:30 AM UTC)

[18p-S2_204-2]Orchestration of experimental equipment using ROS2

〇Kensei Terashima1, Wei-Sheng Wang1,2, Yoshihiko Takano1,2 (1.NIMS, 2.Univ. of Tsukuba)
2:30 PM - 2:45 PM JST(5:30 AM - 5:45 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[18p-S2_204-3]On-demand phase-field modeling: Three-dimensional Landau energy for HfO2 through machine learning

〇(M1)Yusuke Tamura1,2, Kairi Maduda2, Yu Kumagai2,3 (1.Tohoku Univ., 2.IMR, Tohoku Univ., 3.OAS, Tohoku Univ.)
2:45 PM - 3:00 PM JST(5:45 AM - 6:00 AM UTC)

[18p-S2_204-4]Elucidating the temperature dependence of dielectric constant in BaTiO3 using machine learning interatomic potentials

〇Daiki Nakajima1,2, Shin Kiyohara2, Atsushi Takigawa1,2, Yu Kumagai2,3 (1.GSE,Tohoku Univ., 2.INR,Tohoku Univ., 3.OAS,Tohoku Univ.)
3:00 PM - 3:15 PM JST(6:00 AM - 6:15 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[18p-S2_204-5]Anharmonic lattice dynamics of elemental metals using polynomial machine-learning potentials

〇(PC)Takuya Naruse1, Atsuto Seko2, Atsushi Togo3 (1.Kyushu Univ., 2.Kyoto Univ., 3.NIMS)
3:30 PM - 3:45 PM JST(6:30 AM - 6:45 AM UTC)

[18p-S2_204-6]Analysis of Structural Stability and Irreversible Changes in Li-Ion Battery Cathode Materials Using uMLIP

〇Kota Matsumoto1, Takahiro Hirai1 (1.Matlantis Corp.)
3:45 PM - 4:00 PM JST(6:45 AM - 7:00 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[18p-S2_204-7]Analysis of Compositional and Structural Strain Effects on Ferroelectric Properties of ScAlN using Machine Learning Force Fields

〇(M1)Ryotaro Sahashi1, Po-Yen Chen1, Teruyasu Mizoguchi2 (1.Univ. of Tokyo Eng, 2.Univ. of Tokyo IIS)
4:00 PM - 4:15 PM JST(7:00 AM - 7:15 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[18p-S2_204-8]Application of the Machine Learning Hybrid Potential 'Tersoff-NN' to Si-Ge Binary Systems

〇(M1)Sho Kubota1, Yusuke Nishimura1, Kotaro Takematsu1, Watanabe Takanobu1 (1.Waseda Univ.)
4:15 PM - 4:30 PM JST(7:15 AM - 7:30 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[18p-S2_204-9]Reproducing the Melting Point and Phonon Dispersion of Crystalline Silicon via Energy and Force Learning

〇(D)Yusuke Nishimura1, Sho Kubota1, Kotaro Takematsu1, Takanobu Watanabe1 (1.Waseda Univ.)
4:30 PM - 4:45 PM JST(7:30 AM - 7:45 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation AwardEnglish Presentation

[18p-S2_204-10]Accurate Screening of Functional Materials with Machine-Learning Potential and Transfer-Learned Regressions: Heusler Alloy Benchmark

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