Session Details

[18p-A24-1~13]23.1 Joint Session N "Informatics"

Wed. Sep 18, 2024 1:30 PM - 5:15 PM JST
Wed. Sep 18, 2024 4:30 AM - 8:15 AM UTC
A24 (TOKI MESSE 2F)
Naoka Nagamura(NIMS), Yusuke Hashimoto(東北大), Masahiko Ishida(NEC)

[18p-A24-1]Exploration of novel crystal structures of titanium oxynitrides via the local formal charge estimation

〇Yuta Aoki1 (1.Schrodinger, K.K.)
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[18p-A24-2]Elucidating Determining Factors of Material Properties Using Combinatorial Optimization of Features

〇Noriaki Ozaki1, Jun Ikeda1 (1.Murata Mfg.)
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[18p-A24-3]Extrapolative Property Prediction Using Pretrained Models as Feature Extractors

〇Tasuku Sugiura1,2, Kiyou Shibata1,3, Naoto Kawaguchi3, Teruyasu Mizoguchi1,3 (1.IIS, the Univ. of Tokyo, 2.Mitsubishi Materials Corp., 3.Sch. Eng., the Univ. of Tokyo)
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[18p-A24-4]Material Design Method Using Gradient-Based Inverse Problem Solving to Achieve Desired Crystal Structures and Properties

〇Akihiro Fujii1, Augustin Lu1, Yoshitaka Ushiku2, Satoshi Watanabe1 (1.Tokyo Univ., 2.OMRON SINIC X Corp.)
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[18p-A24-5][The 56th Young Scientist Presentation Award Speech] Direct inverse analysis of defect distribution and electron transport in field-effect transistors by tandem neural network

〇Masatoshi Kimura1, Keisuke Ide1, Hideo Hosono1, Toshio Kamiya1 (1.Tokyo Tech)
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[18p-A24-6]Estimation of Thermal Diffusivity and Carrier Lifetime of Si from Laser Heterodyne Photothermal Displacement Signals using Machine Learning

〇Shota Urano1, Tomoki Harada1, Kentaro Kutsukake2, Noritaka Usami2, Tetsuo Ikari1, Atsuhiko Fukuyama1 (1.Univ. of Miyazaki, 2.Nagoya Univ.)
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[18p-A24-7]Inverse-problem Approach to Designing Dispersion Properties of 2D Phononic Crystals using Deep Learning and Particle Swarm Optimization Algorithm

〇(M2)Yuji Sato1, Yuri Fukaya1, Kenji Tsuruta1 (1.Graduate School of Environmental, Life, Natural Science and Technology, Okayama Univ.)
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[18p-A24-8]Spectral Imaging Analysis of InGaN QWs Using Nonnegative Matrix Factorization

〇Kazunori Iwamitsu1, Kenta Sakai2, Zentaro Akase1, Atsushi A. Yamaguchi2, Shigetaka Tomiya1 (1.NAIST, 2.Kanazawa Inst. of Tech.)
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[18p-A24-9]Interpretable structural evaluation of nanostructures via persistent homology

〇Ryuto Eguchi1,2, Wen Yu1,2, Ayako Hashimoto1,2 (1.NIMS, 2.Univ. Tsukuba)
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[18p-A24-10]Development of reliability evaluation for material image prediction using uncertainty

〇U OU1, Hiroyuki Yamamoto1, Sayaka Tanimoto1 (1.Hitachi Ltd. Research & Development Group.)
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[18p-A24-11]3D Information Analysis of Surface SEM Images using Deep Learning

〇(DC)Takamitsu Ishiyama1,2, Koki Nozawa1, Takashi Suemasu1, Kaoru Toko1 (1.Univ. of Tsukuba, 2.JSPS Research Fellow)
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[18p-A24-12]3D Filament Microstructure Analysis of Superconducting Wires Using Deep Learning

〇Kosuke Ando1, Yoshiki Nishiya1, Tatsunori Ishibashi1, Yusuke Shimada2, Motomune Kodama3, Hideki Tanaka3, Akiyasu Yamamoto1 (1.Tokyo Univ. Agri. & Tech., 2.Kyushu Univ., 3.Hitachi, Ltd.)
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[18p-A24-13]Generation of pseudo 3D multicrystalline Si structure using Generative Adversarial Networks

〇Takumi Deshimaru1, Kentaro Kutsukake1,2,3, Hiroaki Kudo4, Ryoji Katsube1, Noritaka Usami1,2,5 (1.Grad Eng Nagoya Univ, 2.IMaSS, 3.AIP RIKEN, 4.Grad Info Nagoya Univ, 5.InFuS)
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