[16a-K505-1~9] 23.1 Joint Session N "Informatics" | The 72nd JSAP Spring Meeting 2025

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

[16a-K505-1~9]23.1 Joint Session N "Informatics"

Sun. Mar 16, 2025 9:00 AM - 11:30 AM JST
Sun. Mar 16, 2025 12:00 AM - 2:30 AM UTC

K505 (Lecture Hall Bldg.)

Ryoji Asahi(Nagoya Univ.), Hirotaka Yonezawa(PFCC)

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9:00 AM - 9:15 AM JST(12:00 AM - 12:15 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[16a-K505-1]Tersoff-NN: A Hybrid Interatomic Potential with a Bond-order Function using Neural Networks (I)

〇(M2)Yusuke Nishimura¹, Kentaro Hirai¹, Takanobu Watanabe¹ (1.Waseda Univ.)

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9:15 AM - 9:30 AM JST(12:15 AM - 12:30 AM UTC)

[16a-K505-2]Tersoff-NN: A Hybrid Interatomic Potential with a Bond-order Function using Neural Networks (II)

〇(M2)Kentaro Hirai¹, Yusuke Nishimura¹, Takanobu Watanabe¹ (1.Waseda Univ.)

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9:30 AM - 9:45 AM JST(12:30 AM - 12:45 AM UTC)

[16a-K505-3]Machine Learning Molecular Dynamics to Estimate the Thermal Boundary Resistance at LSI Interconnect Metals/Insulator Interfaces

〇(B)Sho Kubota¹, Yusuke Nishimura¹, Machika Naito¹, Watanabe Takanobu¹ (1.Waseda Univ.)

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9:45 AM - 10:00 AM JST(12:45 AM - 1:00 AM UTC)

[16a-K505-4]Designing Neural Network Potentials for Spin-Dependent Systems

〇Koki Ueno¹, Satoru Ohuchi¹, Kazuhide Ichikawa¹, Kei Amii¹, Kensuke Wakasugi¹ (1.Panasonic Holdings)

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10:00 AM - 10:15 AM JST(1:00 AM - 1:15 AM UTC)

[16a-K505-5]Simulation of hydrofluoric acid solution using machine learning inter atomic potentials

〇Toshihiro Kume^1,2, Rizka Nur Fadilla¹, Harry Handoko Halim¹, Yoshitada Morikawa¹ (1.Osaka Univ., 2.SCREEN)

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10:30 AM - 10:45 AM JST(1:30 AM - 1:45 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[16a-K505-6]Ensemble learning for experimental band gap prediction from chemical compositions using neural networks

〇Taichi Masuda¹, Katsuaki Tanabe¹ (1.Kyoto Univ.)

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10:45 AM - 11:00 AM JST(1:45 AM - 2:00 AM UTC)

[16a-K505-7]Prediction of band gaps from chemical compositions using interpretable machine learning

〇Taichi Masuda¹, Katsuaki Tanabe¹ (1.Kyoto Univ.)

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11:00 AM - 11:15 AM JST(2:00 AM - 2:15 AM UTC)

[16a-K505-8]Establishing Explainable Neural Network for Predicting Physical Properties of Functional Polymer

〇(D)YinKan Phua¹, Tsuyohiko Fujigaya^1,2,3, Koichiro Kato^1,2,4 (1.Grad. Sch. of Eng., Kyushu Univ., 2.CMS, Kyushu Univ., 3.I2CNER, Kyushu Univ., 4.RIIT, Kyushu Univ.)

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11:15 AM - 11:30 AM JST(2:15 AM - 2:30 AM UTC)

[16a-K505-9]Exploration of Superconducting Hydrides with Explainable AI (XAI)

〇Kazuaki Tokuyama¹, Taichi Masuda¹, Souta Miyamoto¹, Katsuaki Tanabe¹ (1.Kyoto Univ.)

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