Scheduled presentations:

• Keynote Unsupervised CANNs for robust and interpretable soft tissue mechanics discovery
  B. Alheit (Delft University of Technology), S. Kumar (Delft University of Technology), *M. Peirlinck (Delft University of Technology)
• Unsupervised full-field Bayesian inference of orthotropic hyperelasticity from a single biaxial test: a myocardial case study
  *R. Krijnen (TU Delft), A. Joshi (Indian Institute of Science), S. Kumar (TU Delft), M. Peirlinck (TU Delft)
• A calibration strategy for mechanical constitutive laws based on neural networks
  *L. Mabileau (LMPS - Laboratoire de Mécanique Paris-Saclay), C. Jailin (LMPS - Laboratoire de Mécanique Paris-Saclay), E. Baranger (LMPS - Laboratoire de Mécanique Paris-Saclay)
• Data-Driven Material Characterisation via Scratch Testing
  *P. Møllmann (Aarhus University), A. Lucantonio (Aarhus University), R. Aghababbaei (Aarhus University)
• Robust Calibration of Constitutive Models from Full-Field Data Using Data-Driven Identification and Neural Networks
  *L. Linden (TU Dresden), K. Kalina (TU Dresden), J. Brummund (TU Dresden), B. Riemer (TU Dresden), M. Kästner (TU Dresden)