Session Details
[15p-S2_204-1~18]23.1 Joint Session N "Informatics"
Sun. Mar 15, 2026 1:30 PM - 6:30 PM JST
Sun. Mar 15, 2026 4:30 AM - 9:30 AM UTC
Sun. Mar 15, 2026 4:30 AM - 9:30 AM UTC
S2_204 (South Bldg. 2)
[15p-S2_204-1]Prototype of a control board utilizing the materials research digital ecosystem DICE
〇Toshihisa Anazawa1, Koyo Daimaru1, Takuya Kadohira1, Satoshi Minamoto1 (1.NIMS)
[15p-S2_204-2]Nd magnet materials development through data generation and utilization, and construction of data analysis platform Aim
〇Tomohiro Kajita1, Keiji Takeda1 (1.TDK Corporation)
[15p-S2_204-3]Automated High-Viscosity Liquid Dispensers for Closed-Loop Self-Driving Laboratories
〇Shun Muroga1, Takaya Inoue1, Naoyuki Matsumoto1, Woosuck Shin1, Ryo Tamura2, Shoichi Matsuda2, Don Futaba1, Kenji Hata1 (1.AIST, 2.NIMS)
[15p-S2_204-4]Statistical analysis of physics literature database using TF-IDF and future prediction of research trends
〇Hisaki Oka1, Nobuaki Kawaguchi2, Kazuya Ohta2 (1.Kanagawa Univ., 2.Astamuse)
[15p-S2_204-5]The mechanism of generation of ground-breaking resarch based on social network therory (II)
〇Keisuke Shinagawa1 (1.Fukuoka womens Univ.)
[15p-S2_204-6]Development of Multimodal Deep Learning Technologies to promote green transformation in resin plastic compounding and injection molding processes
〇Shigeru Kojima1, Ko Osawa1, Yukako Taka1, Michihiro Okuyama1, Akihiro Naruke1, Miyuki Okaniwa1, Daisuke Kimura2, Kenji Hata2, Shun Muroga2 (1.KONICA MINOLTA, INC., 2.AIST)
[15p-S2_204-7]Extraction of compound synthesis methods from paper in material science
〇Hironori Nakaoka1, Inui Takashi2 (1.Sumitomo Metal Mining, 2.University of Tsukuba)
[15p-S2_204-8]Development of a large language model–based materials property prediction model with low training cost and extensible input description
〇(M1)Ryoma Yamamoto1, Akira Takahashi1, Kei Terayama1,2, Yu Kumagai3, Fumiyasu Oba1 (1.Inst. of Sci. Tokyo, 2.Yokohama City Univ., 3.Tohoku Univ.)
[15p-S2_204-9]Evaluation of Multi-modal LLM with Benchmark Set Requiring Figure Interpretations
〇Michiko Yoshitake1, Yuta Suzuki2, Ryo Igarashi1, Yoshitaka Ushiku1, Keisuke Nagato3 (1.OSX, 2.Osaka Univ., 3.Univ. Tokyo)
[15p-S2_204-10]LLM-Based Symbolic Search for Interpretable Formulas of Experts’ Knowledge: Application to SiC Solution Growth
〇(M1)Kota Takahara1, Kentaro Kutsukake1,2, Shunta Harada1,2, Toru Ujihara1,2 (1.Nagoya Univ., 2.IMaSS Nagoya Univ.)
[15p-S2_204-11]Materials Development with LLM (V): Exploratory Search by PoLyInfo + Agent AI
〇Masashi Ishii1, Koichi Sakamoto1 (1.NIMS)
[15p-S2_204-12]Materials Development with LLM (VI): Analysis Support via XAFS DB + Agent AI
〇Masashi Ishii1, Koichi Sakamoto1 (1.NIMS)
[15p-S2_204-13]Large Language Model for Academic Literature Toward a Polymer-Domain-Specific AI
〇Shun Muroga1, Makoto Miyagishi1 (1.AIST)
[15p-S2_204-14]Effects of Structural Representations and Vocabulary Design on Crystal Property Prediction with Large Language Models
〇Shuichiro Ozawa1, Izumi Takahara1, Teruyasu Mizoguchi2 (1.Sch. of Eng., UTokyo, 2.IIS, UTokyo)
[15p-S2_204-15]Autonomous Multi-Agent AI System for Thermoelectric Materials Research and Knowledge System Construction
〇Yusuke Hashimoto1, Takaaki Tomai1 (1.Tohoku Univ.)
[15p-S2_204-16]Development of LLM Tools to Accelerate Literature Data Collection for Starrydata
〇Yukari Katsura1,2,3, Tomoya Mato1, Eiji Koyama1, Dewi Yana1, Atsumi Tanaka1, Yoshihiro Sakamoto3, Masaya Kumagai3,4 (1.NIMS, 2.Univ. of Tsukuba, 3.RIKEN, 4.SAKURA internet Inc.)
[15p-S2_204-17]Data-driven analysis and visualization of dielectric properties curated from scientific literature
〇Ryusuke Misawa1, Tomoki Murata1, Eiji Koyama2, Satoshi Yokomizo1, Tomoya Mato2, Sakyo Hirose1, Yukari Katsura2,3,4 (1.Murata Manufacturing Co., Ltd., 2.NIMS, 3.Univ. of Tsukuba, 4.RIKEN AIP)
[15p-S2_204-18]Clustering and Visualization for Materials Discovery in a Dielectric Materials Database
〇Noriaki Ozaki1, Tomoki Murata1, Eiji Koyama2, Tomoya Mato2, Ryusuke Misawa1, Yukari Katsura2,3,4 (1.Murata Mfg., 2.NIMS, 3.University of Tsukuba, 4.RIKEN AIP)