The 73rd JSAP Spring Meeting 2026
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Session Details

Poster presentation23 Joint Session N "Informatics" : 23.1 Joint Session N "Informatics"

[18a-PA1-1~23]23.1 Joint Session N "Informatics"

Wed. Mar 18, 2026 9:30 AM - 11:00 AM JST
Wed. Mar 18, 2026 12:30 AM - 2:00 AM UTC
PA1 (Arena (1F))

[18a-PA1-1]Applicatiopn of Persistent Homology: Merits and Challenges

〇Michiko Yoshitake1, Takahiro Nagata1 (1.NIMS)

[18a-PA1-2]Morphological Analysis of Semiconductor Microstructures Using Persistent Homology and Elliptic Fourier Analysis

〇Keisho Higa1, Kazuhiro Hashiride1, Chihiro Ito1, Noriko Nitta1, Ippei Obayashi2 (1.Kochi Univ. Tech., 2.Okayama Univ.)

[18a-PA1-3]Morphological Analysis of Polymer Surfaces by Persistent Homology

〇Kazuhiro Hashiride1, Noriko Nitta1, Hana Sato2, Naoto Oishi2, Ippei Obayashi3 (1.Kochi Univ. of Tech., 2.NIT, Kochi College, 3.Okayama Univ.)

[18a-PA1-4]Large-Scale Simulation of Solid Electrolyte Interfaces in All-Solid-State Batteries Using Neural Network Potentials

〇Naoki Matsumura1, Kazutaka Nishiguchi1, Yuta Yoshimoto1, Meguru Yamazaki1, Yasufumi Sakai1 (1.Fujitsu)

[18a-PA1-5]Analysis of Electric Field-induced Phase Transition in Tungsten Bronze-type Antiferroelectrics using Machine Learning Interatomic Potential

〇Hodaka Abe1, Sou Yasuhara1, Takuya Hoshina1 (1.Science Tokyo)

[18a-PA1-6]Causal AI Analysis of the Stabilizing Effect of SiN Insulation Films on GaN-HEMT Characteristics

〇Sotaro Kuribayashi1, Jorge Gutierrez-Gil1, Kotaro Shiizaki1, Atsushi Yamada1, Toshihiro Ohki1, Hiroyuki Higuchi1, Hideyuki Jippo1 (1.Fujitsu Limited)

[18a-PA1-7]Automatic Extraction and Structuring of Equations and Descriptors in Materials Science Papers

Chie Suematsu1, 〇Toshihisa Anazawa1, Takuya Kadohira1, Satoshi Minamoto1 (1.NIMS)

[18a-PA1-8]Coordinate Encoding on Linear Grids for Physics-informed Neural Networks

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

[18a-PA1-9]Morphological Analysis of Semiconductor Microstructures Formed on Ge, GaSb, and InSb Using Skeleton Graphs

〇Yu Fujimoto1, Takahiro Komoda1, Kohei Ishikawa1, Daiki Yoshihara1, Noriko Nitta1 (1.Kochi University of Technology)

[18a-PA1-10]High-precision automated analysis of photoelectron yield spectroscopy spectra based on information criteria and shifted log-log plot linearization

〇Shinjiro Yagyu1, Takahiro Nagata1, Takeshi Yasuda1, Yoshiyuki Nakajima2 (1.NIMS, 2.Rikenkeiki)

[18a-PA1-11]Probabilistic spectral analysis using Gaussian process regression

〇Taisuke Ochi1, Tomohiro Matsui1 (1.ARL Anritsu)

[18a-PA1-12]Investigation of Feature Extraction Methods for Endpoint Detection in CMP Processes

〇Taiga Eguchi1, Yu-ki Takei1, Daichi Yamaura1, Yoshitaro Sakata1 (1.AIST)

[18a-PA1-13]Deep Learning for Predicting and Analyzing the Electrical Properties of Polycrystalline Ge Thin Films

〇(M1)Takenori Nakajima1, Takamitsu Ishiyama1, Kaoru Toko1 (1.Univ. of Tsukuba)

[18a-PA1-14]Layer exchange of Miniaturized Ge for Optical Device Applications

〇Yutaka Kiyono1, Takamitsu Ishiyama1, Kaoru Toko1 (1.Tsukuba Univ.)

[18a-PA1-15]Development of a Prediction Model for Magnetization Compensation in Impurity-Doped Mn4N Thin Films

〇Soushi Akita1, Takamitsu Ishiyama1 (1.Tsukuba Univ.)

[18a-PA1-16]Inverse Design of Solid Polymer Electrolytes Using Causal Discovery and Generative AI

〇Meguru Yamazaki1, Yuta Yoshimoto1, Eiji Ohta1, Naoki Matsumura1, Kazutaka Nishiguchi1, Hiroyuki Higuchi1, Yasufumi Sakai1 (1.Fujitsu Limited)

[18a-PA1-17]Neural Network-Based Molecular Dynamics Simulations of Silica Etching Processes

〇Yuta Yoshimoto1, Meguru Yamazaki1, Naoki Matsumura1, Yuto Iwasaki1, Kazutaka Nishiguchi1, Yasufumi Sakai1, Hideyuki Jippo1 (1.Fujitsu)

[18a-PA1-18]Phase classification methods and applications in hydrogen storage alloy synthesis

〇(M2)Kai Kawasaki1,2, Hiroyuki Saitoh2, Kanta Ono1 (1.Osaka Univ., 2.QST)

[18a-PA1-19]Self-supervised denoising for 4D-STEM

〇(D)Kai Kamijo1, Motoki Shiga1,2,3,4, Shusuke Kanomi5,6, Tomohiro Miyata5, Hiroshi Jinnai5 (1.Graduate School of Information Sciences, Tohoku Univ., 2.UDAC, Tohoku Univ., 3.NIMS, 4.RIKEN, 5.IMRAM, Tohoku Univ., 6.Mitsubishi Chemical Corp.)

[18a-PA1-20]Investigation into the use of LLM Agents in Materials Discovery

〇Keisuke Ozawa1, Katsuhiko Ishiguro1, Kaushalya Madhawa1, Jun Jin Choong1, Toshinori Miyoshi1, Yoshihisa Ijiri1, Masahiko Demura2, Satoshi Minamoto2, Toshiyuki Koyama2 (1.SB Intuitions, 2.NIMS)

[18a-PA1-21]Characterizing LLM Pairwise Comparisons in Chemistry and Materials Science

〇Shunya Maezawa1, Tsuyoshi Ueno1 (1.Kwansei Gakuin Univ.)

[18a-PA1-22]Development of a Generative AI Agent for Advanced Utilization of ARIM Shared Data: Supporting ALD Experimental Condition Selection Using the MCP and Knowledge Graphs

〇Takeshi Kuwada1, Hiroshi Arimoto2, Masashi Yamazaki2, Atsuko Onizawa2 (1.NIMS, 2.AIST)

[18a-PA1-23]Materials Domain Specialization of Local LLM via Integration of Experimental Data and Scientific Literature — Proposal of MDSK-RAG —

〇Wataru Takahara1, Yuichi Yamaguchi2,3, Mai Ogano2, Fuga Kakami2, Yosuke Harashima1,4, Tomoaki Takayama1,4, Shogo Takasuka1, Akihiko Kudo2,3, Mikiya Fujii1,4,5 (1.NAIST, 2.TUS, 3.CVRC RIST TUS, 4.NAIST DSC, 5.NAIST CMP)
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