Scheduled presentations:

• Diffusion Models for Predicting Uncertainty in Full-field Material Response
  *P. Kota (Johns Hopkins University), L. Graham-Brady (Johns Hopkins University)
• Trustworthy Crack Propagation Prediction under Fretting Fatigue via Physics-Informed Diffusion and Probabilistic Reasoning
  *Y. Wu (Ghent university), W. Magd Abdel (Ghent university)
• Neural-Integrated Meshfree Modeling of Inelastic Materials Coupled with Data-Driven Constitutive Neural Operators
  *Q. He (University of Minnesota), H. Du (University of Minnesota), B. Guo (University of Minnesota)
• Molecular Dynamics informed Continuum Modelling of Graphene Deposition on Metal Substrates via Mechanics-Guided Machine Learning
  *Y. GUO (National Tsing Hua University (NTHU)), Y. Chou (National Tsing Hua University (NTHU)), W. Lee (National Tsing Hua University (NTHU)), C. Lee (Research Center for Applied Sciences, Academi), C. Pao (Research Center for Applied Sciences, Academi), T. Huang (Department of Mechanical Engineering, Nationa)
• Physics-Augmented Neural Network for Constitutive Modeling of Articular Cartilage with Regularized Meshfree Knee Joint Contact Simulation
  *Y. CHOU (National Tsing Hua University), R. Readioff (University of Liverpool), T. Huang (National Taiwan University)
• Neuro-symbolic automated discovery of novel deformation behaviors in multi-material 4D-printed structures using graph neural surrogates and novelty-driven search
  *O. Bougzime (UTBM), S. Bommisetty (UTBM), C. Cruz (Université Bourgogne Europe), F. Demoly (UTBM)