Scheduled presentations:

• Turbulence Subgrid Closure for the Lattice Boltzmann Method via Artificial Neural Networks
  *G. Ortali (Eindhoven University of Technology), N. Demo (SISSA), A. Gabbana (Eindhoven University of Technology), G. Rozza (SISSA), F. Toschi (Eindhoven University of Technology)
• Learning Parameter-Dependent Hamiltonian Systems with Structure-Preserving Neural Networks
  *P. Horn (Eindhoven University of Technology), B. Koren (Eindhoven University of Technology)
• Energy-Conserving Neural Network for Turbulence Modeling
  *T. van Gastelen (CWI), W. Edeling (CWI), B. Sanderse (CWI)
• Unravelling Architectures of Continuous-Time Recurrent Neural Networks
  *C. Datar (Technical University of Münich), A. Datar (Institute for data science foundations (TUHH)), F. Dietrich (Technical University of Münich), W. Schilders (Eindhoven University of Technology)
• Variationally Mimetic Operator Networks
  D. Patel (Stanford University), D. Ray (University of Maryland), *M. Abdelmalik (Eindhoven University of Technology), T. Hughes (Oden Institute for Computational Engineering), A. Oberai (University of Southern California)