Scheduled presentations:

• Neural Operator Surrogates for Elliptic PDEs
  C. Marcati*, C. Schwab, J. Zech
• Neural latent dynamics models
  S. Fresca*, N. Farenga, A. Manzoni
• A non-intrusive mesh-free surrogate model to address geometrical variability in patient-specific hemodynamics
  R. Tenderini*, L. Pegolotti, A. Marsden, S. Deparis
• PoroTwin: Digital twins and machine learning for laboratory-scale porous media
  E. Keilegavlen*, E. Fonn, K. Johanessen, K. Eikehaug, J. Both, M. Fernø, T. Kvamsdal, A. Rasheed, J. Nordbotten
• Physics Informed Neural Networks for a Peridynamic Inverse Problem
  F. Difonzo*, L. Lopez, S. Pellegrino
• An Experimental Analysis of effects of different Training Methods for the Accuracy and the Computational Cost of PINNs
  F. Colace, D. Conte, A. Lorusso, G. Pagano, B. Paternoster, C. Valentino*