Session Details
[24p-P07-1~11]23 Joint Session N "Informatics" (Poster)
Sun. Mar 24, 2024 1:30 PM - 3:30 PM JST
Sun. Mar 24, 2024 4:30 AM - 6:30 AM UTC
Sun. Mar 24, 2024 4:30 AM - 6:30 AM UTC
P07 (Building No. 9)
[24p-P07-1]Prediction for photocatalytic activity of hematite photoelectrodes by machine learning of experimental data
〇Takuma Nishimura1, Yoshitaka Kumabe2, Yosuke Harashima3, Mikiya Fujii3, Takashi Tachikawa1,2 (1.Grad. Sch of Sci., Kobe Univ., 2.Mol. Photsci. Res. Center., Kobe Univ., 3.NAIST)
[24p-P07-2]Development of a Resin Chemical Resistance Classification Model Using Machine Learning for Use in Semiconductor Cleaning Equipment
〇Mitsuru Yambe1, Shogo Kunieda1, Yosuke Hanawa1, Hitoshi Kamijima2, Toshiaki Shintani2, Takuo Okude2, Yoshihiro Hayashi3, Ryo Yoshida3 (1.SCREEN Holdings Co., Ltd., 2.Research Institute of Systems Planning. Inc., 3.The Institute of Statistical Mathematics)
[24p-P07-3]Prediction of Crystal Habits of Organic Semiconductors Using Machine Learning
〇Kosuke Matsuda1, Tomoharu Okada1, Hiroyuki Matsui1 (1.ROEL,Yamagata Univ.)
[24p-P07-4]Application of Principal Component Analysis for Microscopic Property Analysis of InGaAs-HEMT
〇(B)Kento Shiga1, Taniwaki Michiki2, Nagaoka Ryunosuke2, Watanabe Issei3, Kotsugi Masato2, Hukidome Hirokazu1 (1.Tohoku Univ., 2.Tokyo Univ of Science, 3.NICT)
[24p-P07-5]Detecting and Quantifying Structural Information in X-CT Images Using Topological Data Analysis
〇Xichan Gao1, Kazuto Akagi1, Daiki Kido2,3, Masao Kimura2,3 (1.AIMR, Tohoku Univ., 2.High Energy Accelerator Research Organization (KEK), 3.SOKENDAI (The Graduate University for Advanced Studies))
[24p-P07-6]Improving the efficiency of searching for highly magnetic alloy materials using nonlinear dimensional compression methods and Bayesian optimization
〇Naoki Yoshida1, Yuma Iwasaki2, Yasuhiko Igarashi1 (1.Univ of Tsukuba, 2.NIMS)
[24p-P07-7]Investigation of accelerating catalyst search using Bayesian optimization
〇Junya Kaneda1, Ryoji Asahi1 (1.Nagoya Univ.)
[24p-P07-8]Automated Synchrotron XRD Pattern Analysis and its Application to Residual Stress Mapping
〇Kazuma Yanai1, Keiji Kuno1, Satoru Suzuki1, Noriko Seki1, Jun Hasegawa1, Taisuke Ono1 (1.DENSO CORP.)
[24p-P07-9]Automatic Analysis Method for Spectra Interpreted by the Power Law
〇Shinjiro Yagyu1, Michiko Yoshitake1, Takahiro Nagata1 (1.NIMS)
[24p-P07-10]Development of an Experimental Data Collection Platform for Machine Learning of TADF Materials
〇(M1)Satoshi Miyata1,2, Masashi Tsubaki2, Hajime Nakanotani3, Takuji Hatakeyama4, Yasuo Nakayama1,2, Takuya Hosokai1,2 (1.Tokkyo Univ. Sci, 2.AIST, 3.Kyushu Univ, 4.Kyoto Univ)
[24p-P07-11]Automatic Extraction of Magnet Fabrication Conditions from US Patents
〇Hiroyuki Oka1, Masashi Ishii1 (1.NIMS)