Session Details
[Fr-A2]AI / Machine Learning in Materials Characterization & Design
Fri. Nov 6, 2026 10:40 AM - 12:10 PM
Room A (Main Room)
Chair: Yasuyuki Yokota (RIKEN), Yuuki Yasui (The University of Tokyo)
[Fr-A2-01]Water near anti-biofouling surfaces: mechanisms and design
*Tomohiro Hayashi1 (1. Institute of Science Tokyo (Japan))
[Fr-A2-02]AI-Assisted High-efficient Spectromicroscopic Analysis of Charge Transfer in Materials
*Naoka Nagamura1,2,3, Tarojiro Matsumura4, Yasunobu Ando5, Yasuhiko Igarashi6 (1. National Institute for Materials Science (Japan), 2. Tokyo University of Science (Japan), 3. Tohoku University (Japan), 4. National Institute of Advanced Industrial Science and Technology (Japan), 5. Institute of Science Tokyo (Japan), 6. University of Tsukuba (Japan))
[Fr-A2-03]Machine-learning-driven optimization of high-entropy alloy nanoparticle catalysts for hydrogen evolution reaction
Koki Otsuka1, Anh Khoa Augustin Lu1,2, Koji Shimizu3, *Satoshi Watanabe1 (1. UTokyo (Japan), 2. NIMS (Japan), 3. AIST (Japan))
[Fr-A2-04]Machine-Learning-Assisted Structural Analysis of Two-Dimensional Mn/Te Films on Metal substrates
*Haruto Seki1, Kenji Nawa2, Chiharu Mitsumata3, Toyo Kazu Yamada1,4 (1. Graduate School of Science and Engineering, Chiba University (Japan), 2. National Institute of Advanced Industrial Science and Technology (Japan), 3. Graduate School of Pure and Applied Science, University of Tsukuba (Japan), 4. Molecular Chirality Research Centre, Chiba University (Japan))