Session Details
[20a-P04-1~9]23.1 Joint Session N "Informatics"
Wed. Sep 20, 2023 9:30 AM - 11:30 AM JST
Wed. Sep 20, 2023 12:30 AM - 2:30 AM UTC
Wed. Sep 20, 2023 12:30 AM - 2:30 AM UTC
P04 (KJ Hall)
[20a-P04-1]Acceleration of Density Functional Theory and Structural Relaxation Calculation by Optimization of SCF Calculation Conditions
〇Eiji Ohta1, Atsushi Ishikawa2 (1.FUJITSU LTD., 2.Toukou Inst.)
[20a-P04-2]High-performance quadratic spectral neighbor analysis potential for Al-H binary system to investigate hydrogen embrittlement
〇(M1)Yuxi Liu1, Koji Shimizu1, Satoshi Watanabe1 (1.UTokyo)
[20a-P04-3]Machine Learning Workflow for Discovering New Superconductors
〇Harunobu Ozawa1, Kakeru Matsushita1, Masatomo Uehara1 (1.YNU)
[20a-P04-4]Active learning in neural networks training for catalyst energy prediction
〇Yasufumi Sakai1, Thang Dang1, Koichi Shirahata1, Atsushi Ishikawa2 (1.Fujitsu Ltd., 2.Tokyo Tech.)
[20a-P04-5]Examination of Automatic Magnetic Data Extraction from Scientific Documents
〇Masashi Ishii1, Hiroyuki Oka1 (1.NIMS)
[20a-P04-6]Construction of lattice parameter prediction system using CNN
〇Fumihiko Uesugi1, Masashi Ishii1 (1.NIMS)
[20a-P04-7]Preprocessing method for spectra using segmented regression (piecewise regression)
〇Shinjiro Yagyu1, Takahiro Nagata1 (1.NIMS)
[20a-P04-8]Gas composition analysis by optical emission spectroscopy of non-equilibrium atmospheric pressure plasma using machine learning
〇(M1)Riku Tamura1, Shuhei Takamatsu1, Hitoshi Muneoka1, Tsuyohito Ito1, Kazuo Terashima1 (1.UTokyo)
[20a-P04-9]Deep Learning of Transparent Conductive Films Fabricated by Carbon Nanotube Dispersions
〇Yusuke Yasuda1, Hirokuni Jintoku1, Shun Muroga1, Hiroshi Morita1, Kenji Hata1 (1.National Institute of Advanced Industrial Science and Technology)