Scheduled presentations:

• Fast Solution of Partial Differential Equations with Neural Green's Operators
  *J. Prins (Eindhoven University of Technology), M. Abdelmalik (Eindhoven University of Technology), J. Proll (Eindhoven University of Technology), M. Pueschel (DIFFER), J. Citrin (Google DeepMind)
• A data-driven learned discretization approach in finite volume schemes for compressible fluid dynamics
  *G. de Romémont (ONERA), F. Renac (ONERA and ENSAM), J. Nunez (ONERA), D. Gueyffier (ONERA), P. Mirowski (DeepMind)
• Index-Aware Learning of Circuits
  I. Cortes Garcia (Eindhoven University of Technology), *P. Förster (Eindhoven University of Technology), L. Jansen (Technical University of Darmstadt), W. Schilders (Eindhoven University of Technology), S. Schöps (Technical University of Darmstadt)
• A Comprehensive Error Modeling Approach in Multi-Fidelity Metamodels of Simulators with Functional Outputs
  *L. Brunel (ONERA, Université Paris-Saclay), M. Balesdent (ONERA, Université Paris-Saclay), L. Brevault (ONERA, Université Paris-Saclay), R. Le Riche (LIMOS (CNRS, Mines Saint-Etienne and UCA)), B. Sudret (ETH Zurich)
• MeshGraphNets as NeuralODE to Simulate Physical Systems in Industrial Applications
  *J. Trommer (University of Augsburg), L. Mikelsons (University of Augsburg)
• Accelerating Phase Field Modeling Through Hybrid Simulations using Fourier Neural Operators and UNets
  C. Bonneville (Sandia National Laboratories), *C. Safta (Sandia National Laboratories), A. Hegde (Sandia National Laboratories), L. Capolungo (Los Alamos National Laboratory), H. Najm (Sandia National Laboratories), N. Bieberdorf (University of California Berkeley), M. Asta (University of California Berkeley)