Scheduled presentations:

• A Unified Homogenization Framework for Heterogeneous Materials Based on Deep Material Networks
  *C. CHEN (National Taiwan University), T. Wei (National Taiwan University)
• Deep Material Networks for Homogenization of Heterogeneous Piezoelectric Materials
  *T. Wei (National Taiwan University), C. Chen (National Taiwan University)
• Virtual material characterization of fiber reinforced composites under high cycle fatigue using Deep Material Networks
  *P. Bhat Keelanje Srinivas (Fraunhofer ITWM), M. Kabel (Fraunhofer ITWM), M. Schneider (University of Duisburg Essen)
• AI-Empowered Multiscale CAE with Deep Material Networks for Composite Material Modelling
  *H. Wei (Ansys, part of Synopsys Inc.), A. Erhart (Ansys, part of Synopsys Inc.), F. Pavia (Ansys, part of Synopsys Inc.), W. Hu (Ansys, part of Synopsys Inc.), C. Wu (Ansys, part of Synopsys Inc.)
• Beyond Pure-Data-Driven: Knowledge-Guided AI for Structural Optimization and Manufacturing: Physics-Informed Machine Learning and Multi-Agent LLM
  *S. Ryu (KAIST)
• Integrating Large Language Models with Surrogate-Assisted Optimization for Woven Composites Design
  M. Hsu (National Cheng Kung University), *C. Yu (National Cheng Kung University)