Scheduled presentations:

• Closing the Reality Gap: Evolving Deep Material Networks into Robust, Multi-Physics Materials Digital Twins
  *R. Dingreville (Sandia National Laboratories), D. Shin (POSTECH), A. Robertson (Sandia National Laboratories), N. Francis (Sandia National Laboratories), A. Lenau (Sandia National Laboratories), R. Lebensohn (Los Alamos National Laboratory)
• Does Iterated Lamination Cure a Degenerate Core?
  *J. Lendvai (University of Duisburg-Essen), M. Schneider (University of Duisburg-Essen)
• Rotation-Free Parametric Deep Material Network for Efficient Multiscale Simulation of Fiber-Reinforced Composite Structures
  *T. Li (Dassault Systèmes), H. Ji (Dassault Systèmes SIMULIA Corp.)
• Recent Progress in AI-enabled Material Multiscale Modeling within LS-DYNA Framework
  *T. Su (Synopsys), H. Wei (Synopsys), C. Wu (Synopsys)
• Machine-Learned Adaptive Multiscale Coupling for Efficient Simulation of Membrane Fabrication
  *M. Busch (Technical University of Hamburg), G. Häfner (University of Göttingen), J. Xi (University of Göttingen), M. Tacke (Helmholtzzentrum Hereon), M. Müller (University of Göttingen), C. Cyron (Helmholtzzentrum Hereon), R. Aydin (Helmholtzzentrum Hereon)
• Transformers versus Recurrent Neural Networks for Path-Dependent Composites
  *P. Uvdal (University of Gothenburg), M. Mirkhalaf (University of Gothenburg)