Scheduled presentations:

• Finite element interpolated neural networks for forward and transient problems
  S. Badia*, W. Li, A. Martin
• r-Adaptive Deep Learning PDE Solver With Triangular Meshes
  Á. Omella*, J. González-Sieiro, T. Teijeiro, D. Pardo
• A Discontinuous Deep Ritz Method for PDEs
  M. Strugaru*, Á. Omella, D. Pardo, I. Muga
• Enhancing OpenFOAM with Deep Learning for Minimising the Spatial Discretisation Error on Coarse Meshes
  J. Gonzalez-Sieiro*, D. Pardo, V. Nava, V. Calo
• A deep learning approach for the reconstuction of 3D geometries and fields
  S. Pagani*, D. Carrara, F. Regazzoni
• A PDE-informed and Physics-informed neural network for learning weak solutions in two-dimensional conservation laws
  E. Abreu, J. Florindo*, W. Lambert