Scheduled presentations:

• Keynote Prediction of Static Equilibria of Landau Phase Transitions using PINN
  S. Lee (UNIST), *H. Chung (UNIST)
• AI-Driven Elastoplastic Bone Model Considering Biological Variability for Automotive Safety
  *C. Saenz-Betancourt (Ludwig-Maximilians-Universität & BMW Group), D. Draper (BMW Group), P. Wernicke (BMW Group), F. Duddeck (Technical University of Munich), S. Peldschus (Ludwig-Maximilians-Universität München)
• A Machine Learning-Based Method for Deriving Explicit Formulas for Stress Evaluation, Sizing, and Strength Assessment in Pressure Vessel Design
  *P. AMUZUGA (CETIM)
• Optimization of Sensor Deployment and Deep Learning Models for CFRP-Reinforced Concrete Structures
  *H. CHUNG (Jeonju University CoreTech), J. KIM (2ISDONGSEO, Technology Institute), B. SONG (Korea Carbon Industry Promotion Agency), W. JUNG (KICT), H. KANG (Lotte E&C)
• Accelerating the Quantification of Orientation Dependent Damage Caused by Voids Using Machine Learning
  *D. Montes de Oca Zapiain (Sandia National Laboratories), N. Aragon1 (Sandia National Laboratories), H. Lim (Sandia National Laboratories)