Session Details
[16p-K505-1~17]23.1 Joint Session N "Informatics"
Sun. Mar 16, 2025 1:00 PM - 5:45 PM JST
Sun. Mar 16, 2025 4:00 AM - 8:45 AM UTC
Sun. Mar 16, 2025 4:00 AM - 8:45 AM UTC
K505 (Lecture Hall Bldg.)
Yukari Katsura(NIMS), Yasuhiko Igarashi(Tsukuba Univ.), Shun Muroga(AIST)
[16p-K505-1]Machine Learning Prediction of the Chemical Resistance of Resin to Inorganic Solutions in Semiconductor Production Equipment
〇Takeru Nakamura1, Mitsuru Yambe1, Shogo Kunieda1, Yosuke Hanawa1, Hitoshi Kamijima2, Toshiaki Shintani2, Shunya Sugiyama2, Yoshihiro Hayashi3, Ryo Yoshida3 (1.SCREEN Holdings, 2.Research Institute of Systems Planning, 3.The Institute of Statistical Mathematics)
[16p-K505-2]Exploring catalysts for ammonia synthesis using databases and machine learning models II
〇Takuya Horita1, Ryoji Asahi1 (1.Nagoya Univ.)
[16p-K505-3]Bayesian optimization with gaussian process assisted by deep learning for material designs
〇Shin Kiyohara1, Yu Kumagai1 (1.IMR, Tohoku Univ.)
[16p-K505-4]Improving the efficiency of searching for highly magnetic alloy materials using TargetLearning VAE and Bayesian optimization
〇Naoki Yoshida1, Yuma Iwasaki2, Yasuhiko Igarashi1 (1.Univ of Tsukuba, 2.NIMS)
[16p-K505-5]Reconstruction of Inorganic Crystal Chemistry Based on Delaunay Tetrahedral Expressions of Crystal Structures
〇Yukari Katsura1,2,3, Yu Takada1, Tomoya Mato1, Masaya Kumagai3,4, Masakazu Akiyama5 (1.NIMS, 2.Univ. of Tsukuba, 3.RIKEN, 4.SAKURA Internet Inc., 5.Toyama Univ.)
[16p-K505-6]Topological Data Analysis of Ion Dynamics in Solid Electrolyte
〇Kazuto Akagi1 (1.AIMR, Tohoku Univ.)
[16p-K505-7]Quantitative assessment of fiber alignment in CFRP using Persistent Homology
〇Xichan Gao1, Kazuto Akagi1, Daiki Kido2, Mayrene Uy2, Masao Kimura2 (1.Tohoku Univ., 2.KEK)
[16p-K505-8]Statistic Microstructure Analysis by Synergy of GAN and Persistent Homology
〇Atsushi Honda1, Koji Ikeshima1 (1.Murata Mfg.)
[16p-K505-9]eX-GL machine learning analysis of topological magnetic structures under laser excitation
〇(B)Naoto Shimizu1, Ryunosuke Nagaoka1, Michiki Taniwaki1, Kosuke Nishioka1, Yotaro Machida1, Alexandre Lira Foggiatto1, Masato Kotsugi1 (1.Tokyo Univ. of Sci.)
[16p-K505-10]Overviewing the Past Studies of Inorganic Functional Materials by Principal Component Analysis of Chemical Composition Vectors
〇Yukari Katsura1,2,3, Tomoya Mato1, Yu Takada1 (1.NIMS, 2.Univ. of Tsukuba, 3.RIKEN)
[16p-K505-11]Development of Automatic Suggestion System of Sample Information Data from Literature by Large Language Models
〇Tomoya Mato1, Yu Takada1, Masaya Kumagai3,4, Yukari Katsura1,2,3 (1.NIMS, 2.Univ. of Tsukuba, 3.RIKEN, 4.SAKURA Internet Inc.)
[16p-K505-12]Benchmark for multi-modal LLM in Materials Science
〇Michiko Yoshitake1, Yuta Suzuki2, Ryo Igarashi1, Yoshitaka Ushiku1, Keisuke Nagato3 (1.OSX, 2.Osaka Univ., 3.Univ. Tokyo)
[16p-K505-13]Inverse Design of Plastics via Evolutionary Algorithm and Large Language Model
〇Shun Muroga1, Naoyuki Matsumoto1, Don N. Futaba1, Kenji Hata1 (1.AIST)
[16p-K505-14]Materials Science Knowledge Graph: A Tool for Extending Autonomous Experiments
〇Michiko Yoshitake1,2, Takahiro Nagata1 (1.NIMS, 2.MatQ-lab)
[16p-K505-15]Realizing FAIR “Knowledge” Principles in Materials Informatics
〇Hiori Kino1 (1.NIMS)
[16p-K505-16]Knowledge Integration for Material Circulation
〇Masashi Ishii1, Yasumasa Suda1, Koichi Sakamoto1 (1.NIMS)
[16p-K505-17]The mechanism of occurrence of breakthrough scientific research based on Structural Hall Theory (Ⅲ)
〇Keisuke Shinagawa1 (1.Fukuoka womens Univ.)