Scheduled presentations:

• Ensuring local mass conservation in reduced order models by using exact discrete complexes
  *W. Boon (Politecnico di Milano), A. Fumagalli (Politecnico di Milano)
• A one-shot overlapping Schwartz method for component-based model order reduction of nonlinear PDEs.
  *T. Taddei (Inria)
• Model order reduction in contour integration method for parametric linear evolution equations.
  *N. Guglielmi (Gran Sasso Science Institute), M. Manucci (Gran Sasso Science Institute)
• Low-Dimensional Discovery of Port-Hamiltonian Systems by Combining Model Order Reduction and Machine Learning
  *J. Rettberg (University of Stuttgart (ITM)), J. Kneifl (University of Stuttgart (ITM)), J. Fehr (University of Stuttgart (ITM)), B. Haasdonk (University of Stuttgart (IANS))
• A certified wavelet-based physics-informed neural network for the solution of parameterized partial differential equations
  *L. Ernst (Ulm University), K. Urban (Ulm University)
• Nonlinear Model Reduction for Wildland Fire Simulation
  F. Black (Technische Universität Berlin), *P. Schulze (Chemnitz University of Technology), B. Unger (Universität Stuttgart)