David Huergo Perea

Reinforcement learning for the automation of high-order computational fluid dynamics

High-order numerical methods provide high accuracy for the simulation of complex fluid flows, but their adoption in industrial computational fluid dynamics (CFD) applications remains limited by challenges related to computational efficiency, robustness and the need for manual parameter tuning. Among the available strat...