Varela Martínez, P., Suárez Morales, P., Alcántara Ávila, F., Miró Jané, A., Rabault, J., Font García, B., . . . Vinuesa Moltiva, R. (2022). Deep reinforcement learning for flow control exploits different physics for increasing Reynolds number regimes.
Citación estilo ChicagoVarela Martínez, Pau, Pol Suárez Morales, Francisco Alcántara Ávila, Arnau|||0000-0002-2772-6050 Miró Jané, Jean Rabault, Bernat Font García, Luis Miguel García Cuevas, Oriol|||0000-0002-2670-1871 Lehmkuhl Barba, y Ricardo Vinuesa Moltiva. Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes. 2022.
Cita MLAVarela Martínez, Pau, et al. Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes. 2022.