Scheduled presentations:

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