Scheduled presentations:

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