Session Details

[17p-K505-1~13]23.1 Joint Session N "Informatics"

Mon. Mar 17, 2025 1:00 PM - 4:30 PM JST
Mon. Mar 17, 2025 4:00 AM - 7:30 AM UTC
K505 (Lecture Hall Bldg.)
Masato Kotsugi(Tokyo Univ. of Sci.), Motoki Shiga(Tohoku Univ.)
PR
SonySemiconductor

[17p-K505-1]Development of an Automatic Fermi Surface Analysis Model for Multicomponent Co-based Heusler Alloys Using Data Science

〇(B)Soichi Takase1, Daichi Isikawa1, Kentaro Fuku1, Yoshio Miura2,5, Yasuhiko Igarashi3, Yuma Iwasaki2, Yuya Sakuraba2, Koichiro Yaji2,4, Alexandre Lira Foggiatto1, Varadwaj Arpita1, Naoka Nagamura1,2,4, Masato Kotsugi1 (1.Tokyo Univ. of Sci., 2.NIMS, 3.Tsukuba Univ., 4.Tohoku Univ., 5.Kyoto Inst. of Tech.)
Comment()

[17p-K505-2]Analysis of the Functional Mechanism of InGaAs-HEMTs Using Extended Landau Free Energy Framework

〇(B)Daiki Tataka1, Yotaro Machida2, Ryunosuke Nagaoka2, Issei Watanabe3, Masato Kotsugi2, Hirokazu Fukidome1 (1.Tohoku Univ., 2.Tokyo University of Science, 3.NICT)
Comment()

[17p-K505-3]Correlation Between Local Structures of Doped Graphene and XANES Spectra Via Machine Learning

〇(B)Yinan Wang1, Arpita Varadwaj1, Foggiatto Alexandre1, Kotsugi Masato1 (1.Tokyo Univ. of Sci.)
Comment()

[17p-K505-4]A Study of a Variational Graph Neural Network for Interpretation of Noisy or Component-superimposed Spectroscopy Data

〇Kiyou Shibata1, Teruyasu Mizoguchi1 (1.IIS, UTokyo)
Comment()

[17p-K505-5]Bayesian inference of PTRF-XAFS measurements using data-analysis framework 2DMAT

〇(M2)Akito Nakano1,2, Takeo Hoshi1, Satoru Takakusagi3 (1.NIFS, 2.Tottori Univ., 3.ICAT)
Comment()

[17p-K505-6]Automated Rietveld Analysis Based on Multi-Objective Optimization of R-factor and Formation Energy

〇Yuta Suzuki1, Yasunobu Ando2 (1.Toyota Motor Corp., 2.Science Tokyo CLS)
Comment()

[17p-K505-7]Toward improving the generalization performance of space group classification from XRD patterns using deep learning

〇Hiroyuki Ozaki1, Naoya Ishida1, Tetsu Kiyobayashi1 (1.AIST)
Comment()

[17p-K505-8]High-speed automated spectroscopic ellipsometry analyses based on deep learning:Application to transparent conductive films

〇Ren Iwayama1, Ryosuke Oka1, Masahiro Hayashi1, Yuki Yamamoto1, Takashi Koida2, Hilfiker James3, Hiroyuki Fujiwara1 (1.Gifu Univ., 2.AIST, 3.J.A. Woollam Co., Inc.)
Comment()

[17p-K505-9]Spectral Imaging Analysis of InGaN QWs Using Nonnegative Matrix Factorization II

〇Kazunori Iwamitsu1, Kenta Sakai2, Zentaro Akase1, Atsushi Yamaguchi2, Shigetaka Tomiya1 (1.NAIST, 2.Kanazawa Inst. of Tech.)
Comment()

[17p-K505-10]Bayesian Inference for Time-Resolved Photoluminescence in Nitride Semiconductors

〇Keita Ikebe1, Kazunori Iwamitsu1, Shota Kaneki2, Hajime Fujikura2, Zentaro Akase1, Atsushi Yamaguchi3, Shigetaka Tomiya1 (1.NAIST, 2.Sumitomo Chemical Co., Ltd., 3.Kanazawa Inst. of Tech.)
Comment()

[17p-K505-11]Principal Component Analysis and Machine Learning of Transmitted THz Waves in Single-Layer Graphene

〇(M1)Limin Zhao1, Suguru Yamauchi2, Shin-ichiro Yanagiya2,3, Yasuhide Ohno2, Masao Nagase2, Yasuo Minami1 (1.Nihon Univ., 2.Tokushima Univ., 3.pLED Inst., Tokushima Univ.)
Comment()

[17p-K505-12]Non-rigid Registration of 3D Atom Probe and Transmission Electron Microscopy Data

〇Zentaro Akase1, Yoshito Otake1, Jun Uzuhashi2, Kazunori Iwamitsu1, Jun Yamasaki3, Tadakatsu Ohkubo2, Shigetaka Tomiya1 (1.NAIST, 2.NIMS, 3.Osaka Univ.)
Comment()

[17p-K505-13]Interpretable Physics-informed Neural Network with k-Planes

〇Tetsuro Tsuchino1,2, Motoki Shiga1,3,4 (1.Tohoku Univ., 2.Gifu Univ., 3.NIMS, 4.RIKEN)
Comment()