Scheduled presentations:

• Deep learning for accelerating computational homogenization schemes: application to flows in porous media
  *M. Shakoor (IMT Nord Europe), V. Itier (IMT Nord Europe), J. Mennesson (IMT Nord Europe)
• Symmetry-enforcing neural networks for constitutive modeling
  K. Garanger (University of California, Irvine), *J. Rimoli (University of California, Irvine)
• A physical-informed FE-NN methodology for predicting highly nonlinear thermomechanical response of thermoset and thermoplastic polymers
  *N. Tang (Ghent University), P. Hao (Ghent University), F. Gilabert Villegas (Ghent University)
• Evaluating Filled Rubber Viscoelasticity: A Comparative Analysis between NODEs and Classical Phenomenological Models
  *F. Califano (Sapienza University of Rome), J. Ciambella (Sapienza University of Rome)
• A data-driven framework to establish surrogate constitutive models of porous elastomers
  *M. Bozkurt (Imperial College London), V. Tagarielli (Imperial College London)