Scheduled presentations:

• Microstructure-Conditioned Surrogates For Multiscale Material Optimization
  *J. Storm (Delft University of Technology), I. Rocha (Delft University of Technology), F. van der Meer (Delft University of Technology)
• Machine Learning for Bone Growth and Hip Implant Stability
  *F. Aldakheel (Leibniz Universität Hannover), M. Haertlé (Medizinische Hochschule Hannover), B. Ayouch (Leibniz Universität Hannover), A. Tragoudas (Leibniz Universität Hannover), A. Antonini (Leibniz Universität Hannover)
• Efficient physics-informed operator learning for three-dimensional microstructures
  *H. Eivazi (Technische Universität Braunschweig), J. Tröger (Clausthal University of Technology), S. Hartmann (Clausthal University of Technology), H. Wessels (Technische Universität Braunschweig)
• Learning Microstructure Descriptors and Latent Dynamics for Scale-Bridging Crystal Plasticity
  *A. Demirci (Forschungszentrum Jülich GmbH), S. Sandfeld (Forschungszentrum Jülich GmbH)
• Multi-Modal Spatial-Temporal Deep Learning for Multi-scale Modelling of Hierarchical Materials
  *B. El Said (University of Bristol), A. Kumar (University of Bristol), A. Hii (University of Bristol)
• Predicting Void Closure in Hot Rolling via Machine Learning: A Data-Driven Multiscale Strategy
  *M. Chalhoub (ArcelorMittal R&D), J. Colombeau (ArcelorMittal R&D), D. Pino Munoz (Centre de mise en forme des métaux (CEMEF) an), P. Bouchard (Centre de mise en forme des métaux (CEMEF) an)