Session Details
[17a-S2_204-1~13]23.1 Joint Session N "Informatics"
Tue. Mar 17, 2026 9:00 AM - 12:30 PM JST
Tue. Mar 17, 2026 12:00 AM - 3:30 AM UTC
Tue. Mar 17, 2026 12:00 AM - 3:30 AM UTC
S2_204 (South Bldg. 2)
[17a-S2_204-1]Self-Supervised Pretraining for Materials Property Prediction
〇Shin Kiyohara1, Hinata Ota1, Yu Kumagai1,2 (1.IMR, Tohoku Univ., 2.OAS, Tohoku Univ.)
[17a-S2_204-2]Constitutive Equation Identification for Complex Fluids by Sparse Regression with Material Objectivity
〇(B)Shotaro Moro1, Takeshi Sato2, Shota Kato1, Katsuaki Tanabe1, Souta Miyamoto1 (1.Kyoto Univ., 2.Kanazawa Univ.)
[17a-S2_204-3]Bayesian Inference of Thermal Boundary Resistance and Thermal Conductivity Data Assimilation for Hydrogen Storage Materials
〇Tomoki Harada1, Nobuko Hanada2, Kentaro Kutsukake1 (1.IMaSS, 2.Waseda Univ.)
[17a-S2_204-4]A High-Efficiency Materials Design Method Using Pretrained Models and Their Gradients
〇Akihiro Fujii1, Yoshitaka Ushiku2, Koji Shimizu3, Anh Khoa Augustin Lu4,1, Satoshi Watanabe1 (1.UTokyo, 2.OMRON SINIC X Corp., 3.AIST, 4.NIMS)
[17a-S2_204-5]Quantum-Inspired Technology for Stable Structure Exploration of Lithium-Ion Battery Cathode Materials
〇Kazuhiro Hashiguchi1, Yuji Masuda1, Manabu Mizobuchi1, Hideyuki Jippo1, Koki Nakano2, Hisatsugu Yamasaki2, Makoto Saito2, Yoshinori Suga2 (1.Fujitsu Ltd., 2.Toyota Motor Corp.)
[17a-S2_204-6]Validation of Temperature Phase Diagrams Based on Crystal Structure Generation Models
〇Daisuke Hirai1, Keitaro Fujii1 (1.Murata Manufacturing)
[17a-S2_204-7]Wide-Range Exploration of Ammonia Synthesis Catalysts Based on Open-Data Machine Learning Models
〇(M2)Takuya Horita1, Ryoji Asahi1 (1.Nagoya Univ.)
[17a-S2_204-8]Virtual Screening of High-κ Oxides via Physics-Based Machine Learning
〇(M2)Atsushi Takigawa1,2, Shin Kiyohara2, Yu Kumagai2,3 (1.Tohoku Univ., 2.IMR, Tohoku Univ., 3.OAS, Tohoku Univ.)
[17a-S2_204-9]Assessing the predictability of proton diffusion pathways from electrostatic potential
〇(M1)Shogo Fukazawa1,2, Shin Kiyohara2, Yu Kumagai2,3 (1.Tohoku Univ., 2.IMR, 3.OAS)
[17a-S2_204-10]Screening Superconducting Hydrides by Ranking Estimation Accuracy and Ensemble Predictions
〇Yukito Kimura1, Souta Miyamoto1, Katsuaki Tanabe1 (1.Kyoto Univ.)
[17a-S2_204-11]Multi-Objective Screening of Cu2O-Based Solar Cell Materials Considering Cost and Stability
Takahiro Kono1, Souta Miyamoto1, 〇Katsuaki Tanabe1 (1.Kyoto Univ.)
[17a-S2_204-12]Cross-Domain Deep Learning for Polycrystalline Materials Segmentation
〇Mio Ito1, Shinnnosuke Tokuta1, Yoshiki Nishiya1, Daito Fukui1, Kotomi Ogi1, Yusuke Shimada2, Akiyasu Yamamoto1 (1.Tokyo Univ. of Agricul. & Technol., 2.Kyushu Univ.)
[17a-S2_204-13]Inverse Materials Design via Simultaneous Generation of Crystal Structures and Local Electronic Structures
〇(M1)Ibuki Okuda1, Izumi Takahara1, Teruyasu Mizoguchi2 (1.Sch. of Eng., UTokyo, 2.IIS, UTokyo)
