Scheduled presentations:

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