Scheduled presentations:

• A Reinforcement Learning Based Shock Capturing Approach for the High-Order Discontinuous Galerkin Method
  A. Schwarz*, J. Keim, L. Zech, A. Beck
• Multi-objective training of an algebraic heat flux model to cure model-data inconsistencies in the momentum treatment
  E. Saccaggi, M. Fiore*, L. Koloszar, M. Mendez
• Comparative assessment of optimization algorithms for kinetic model optimization
  T. Dinelli*, A. Stagni
• Neural Network for Chemistry Closure and the Effect of Manifold Decomposition
  T. Karpowski*, F. Ferraro, A. Scholtissek, C. Hasse
• A-posteriori Investigation of a Data-Driven Scale-Similarity Super-Resolution Model for Turbulence Closure Modeling
  L. Nista*, F. Froede, T. Grenga, J. MacArt, A. Attili, H. Pitsch
• Adaptive, Physics-based Digital Twins of Practical Combustion Systems
  A. Procacci*, L. Donato, C. Galletti, A. Coussement, A. Parente