Scheduled presentations:

• Machine learning–assisted three omega method for predicting multiple thermophysical properties with low variation
  *Y. Ikeda (Kyoto University), R. Yamasaki (Kyoto University), Y. Matsunaga (Nagoya University), Y. Akura (Kyoto University), L. Liu (Osaka University), J. Hirotani (Kyoto University)
• Entropy-Guided Ensemble Active Learning for Efficient Structural Selection in Machine-Learning Interatomic Potentials
  *H. Nonaka (The University of Osaka), L. Liu (The University of Osaka), W. Jia (Chinese Academy of Sciences), J. Hirotani (Kyoto University)
• Graph Neural Network–Based Multiscale Modeling of Lithium-Ion Batteries Incorporating Polycrystalline Microstructure
  *Z. Wang (TU Darmstadt, Tongji University), W. Chen (Technische Universität Darmstadt), Y. Zhao (Tongji University), B. Xu (Technische Universität Darmstadt)
• Learning to Swarm: Mechanics-Informed AI for Nature-Inspired Collective Robotics
  M. Bekkuliyev (Penn State), *C. Peco (Penn State)