The 40th Annual Conference of the Japanese Society for Artificial Intelligence, 2026
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Session Details

Organized SessionOrganized session : OS-15

[3J1-OS-15a]OS-15

Wed. Jun 10, 2026 9:00 AM - 10:30 AM JST
Wed. Jun 10, 2026 12:00 AM - 1:30 AM UTC
Room J(Middle room 201B)
オーガナイザ：清田 純（理化学研究所），小山 尚彦（慶應義塾大学），鈴木 雄太（トヨタ自動車株式会社）
9:00 AM - 9:15 AM JST(12:00 AM - 12:15 AM UTC)

[3J1-OS-15a-01]A Multi-Task Learning (MTL) Framework for Multi-Property Prediction of Material

〇Kiichi Obuchi1,2, Yuta Yahagi1,2, Mutsumi Miuchi1, Kota Matsui3,4,5 (1. NEC Corporation, 2. National Institute of Advanced Industrial Science and Technology, 3. Kyoto University, 4. Shiga University, 5. Institute of Science Tokyo)
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9:15 AM - 9:30 AM JST(12:15 AM - 12:30 AM UTC)

[3J1-OS-15a-02]Efficient Rietveld Analysis via Integration of Prior Distributions

〇Noritoshi Takagaki1, Yusei Ito1, Yoshihiko Ozaki2, Yuta Suzuki3, Kensuke Suzuki1, Kanta Ono1 (1. The University of Osaka, 2. Preferred Networks, Inc., 3. TOYOTA MOTOR CORPORATION)
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9:30 AM - 9:45 AM JST(12:30 AM - 12:45 AM UTC)

[3J1-OS-15a-03]Chemistry-informed heterogeneous domain transfer learning for physical property prediction

〇Yuta Yahagi1,2, Kiichi Obuchi1,2, Fumihiko Kosaka2, Kota Matsui3,4,5 (1. NEC Corporation, 2. National Institute of Advanced Industrial Science and Technology, 3. Kyoto University, 4. Shiga University, 5. Institute of Science Tokyo)
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9:45 AM - 10:00 AM JST(12:45 AM - 1:00 AM UTC)

[3J1-OS-15a-04]AI-Driven Exploration in Organic Crystal Research Bridging Pharmaceuticals and Materials

〇Takuya Taniguchi1 (1. Waseda University)
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10:00 AM - 10:15 AM JST(1:00 AM - 1:15 AM UTC)

[3J1-OS-15a-05]Prediction of Battery Capacity Degradation in Next-Generation Lithium-Ion Batteries Using Informer

〇Kanta Nakajima1, Kenji Yasuoka1, Komei Sugiura1, Shino Yoshizaki2, Shuntaro Miyakawa2 (1. Graduate School of Science and Technology, Keio University, 2. Research Institute of Advanced Technology, SoftBank Corp.)
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10:15 AM - 10:30 AM JST(1:15 AM - 1:30 AM UTC)

[3J1-OS-15a-06]Space-Group Identification from Multi-Phase Powder XRD via Latent Phase Modeling

〇Tomoya Murata1 (1. Toyota Motor Corporation)
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