Scheduled presentations:

• Accelerating High Order Discontinuous Galerkin solvers using neural networks
  *E. Ferrer (Univ. Politecnica de Madrid), O. Mariño (Univ. Politecnica de Madrid), D. huergo (Univ. Politecnica de Madrid)
• Enhancing Computational Fluid Dynamics through Unsupervised Machine Learning
  *G. Rubio (UPM), K. Otmani (UPM), K. Tlales (UPM), A. Mateo-Gabín (UPM), G. Ntoukas (UPM), O. Mariño (UPM), E. Valero (UPM), E. Ferrer (UPM)
• A POD-based reduced order finite volume model for solving shallow water equations with parameterized source terms
  *P. Solán-Fustero (University of Zaragoza), J. Gracia (University of Zaragoza), A. Navas-Montilla (University of Zaragoza), P. García-Navarro (University of Zaragoza)
• A Reinforcement Learning Strategy for Mesh Adaptation in High-order CFD Solvers
  *D. Huergo (UPM), M. De Frutos (UPM), Ó. Mariño (UPM), G. Rubio (UPM), E. Ferrer (UPM)
• Application of PINNs to the modelling of secondary waves in vessels for transient blood flow
  *J. Orera (University of Zaragoza), J. Ramírez (University of Zaragoza), P. García-Navarro (University of Zaragoza), J. Murillo (University of Zaragoza)
• Application of an Automated Machine Learning Framework for the Preliminary Design of Engine Combustion Systems
  *M. Centini (PUNCH Torino SpA), I. Cozza (PUNCH Torino SpA), R. McAlpine (General Motors)