Scheduled presentations:

• Incremental Reduced-Order Modeling of Smoothed Particle Hydrodynamics
  *E. Di Costanzo (Andritz Hydro), J. Marongiu (Andritz Hydro), T. Rung (TU Hamburg)
• Coupling Physics Informed Neural Networks with External CFD Solvers
  *R. HALDER (SISSA), G. Stabile (University of Urbino Carlo Bo), G. Codega (SISSA), G. Rozza (SISSA)
• Combining model order reduction and Lagrangian fluid solvers
  *M. Beckermann (Laboratoire de Mécanique Paris-Saclay), A. Barbarulo (Laboratoire de Mécanique Paris-Saclay), M. Cremonesi (Politecnico di Milano)
• Energy-conserving operator inference for the incompressible Navier-Stokes equations
  *H. Rosenberger (Centrum Wiskunde & Informatica), B. Sanderse (Centrum Wiskunde & Informatica), G. Stabile (Sant'Anna School of Advanced Studies)
• Reduced order model for interface-capturing of two-phase flow using neural-network shift based pre-processing technique
  *H. Gowrachari (SISSA mathLab), N. Demo (SISSA mathLab), G. Stabile (Department of Pure and Applied Sciences, Inf), G. Rozza (SISSA mathLab)
• Regularization Techniques for Data-driven Reduced Order Models
  *A. Ivagnes (SISSA), M. Strazzullo (Politecnico di Torino), G. Stabile (University of Urbino Carlo Bo), T. Iliescu (Virginia Tech), G. Rozza (SISSA)