Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes - Varela, Pau; Suárez, Pol; Alcántara-Ávila, Francisco; Miró, Arnau; Rabault, Jean; Font, Bernat; García-Cuevas, Luis Miguel; Lehmkuhl, Oriol; Vinuesa, Ricardo (Actuators, 2022)
Keywords: Active control; Actuation; Aeronautics; Aircraft; Artificial neural networks; Boundary layer; Boundary layers; Control algorithms; Control methods; Cylinders; Deep learning; deep reinforcement learning; Drag reduction; Emissions; Flow control; Flow separation; Flow simulation; Fluid flow; Machine learning; Neural networks; numerical simulation; Optimization; Partial differential equations; Reynolds number; Two dimensional flow; Velocity; wake dynamics