Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows

Ivan Zanardi, Simone Venturi, Marco Panesi

This work proposes a new machine learning (ML)-based paradigm aiming to enhance the computational efficiency of non-equilibrium reacting flow simulations while ensuring compliance…