Scheduled presentations:

• Interaction-Based Stochastic Deep Material Networks for stochastic and damaging composite materials
  *L. Wu (Univsersity of Liege), L. Noels (Univsersity of Liege)
• Simulation of Fiber Bridging via Physics-based and Data-driven Models.
  *R. Grosselle (Cracs Research Group, Aalborg University), E. Lindgaard (Cracs Research Group, Aalborg University), A. Larsen (AI for Operations Research Group, Aalborg University), A. Olesen (Cracs Research Group, Aalborg University), S. Mosbjerg Jensen (Cracs Research Group, Aalborg University), S. Escalera (Universitat de Barcelona and COMPUTER VISION CENTER), B. Lau Verndal Bak (Cracs Research Group, Aalborg University)
• Real-time Prognosis of AFP Manufacturing Defects using Artificial Intelligence
  *A. Koptelov (University of Bristol), B. El Said (University of Bristol), I. Tretiak (University of Bristol)
• A Data-driven Approach to predict Strain Rate Effect of Carbon/epoxy Composites incorporating Constitutive Artificial Neural Networks (CANNs)
  *S. Yoo (German Aerospace Center (DLR)), I. Aslamsha (German Aerospace Center (DLR)), D. Bhattacharya (RWTH Aachen University), J. Kowalski (RWTH Aachen University), N. Toso (German Aerospace Center (DLR)), H. Voggenreiter (German Aerospace Center (DLR))
• Graph Neural Networks for Efficient Prediction of Mechanical Response in Composite Structures with Unstructured Meshes
  *L. Patrignani (Imperial College London), S. Pinho (Imperial College London)
• Deep Eshelby Network: An AI Framework for Multiscale Mean-Field Homogenization with Arbitrary Inclusion Shapes
  *M. Schwaighofer (TU Wien), M. Königsberger (TU Wien), S. Pech (TU Wien), M. Lukacevic (TU Wien), J. Füssl (TU Wien)