Article Versions Notes

Varela P, Suárez P, Alcántara-Ávila F, Miró A, Rabault J, Font B, García-Cuevas LM, Lehmkuhl O, Vinuesa R. Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes. Actuators. 2022; 11(12):359. https://doi.org/10.3390/act11120359

Varela, Pau, Pol Suárez, Francisco Alcántara-Ávila, Arnau Miró, Jean Rabault, Bernat Font, Luis Miguel García-Cuevas, Oriol Lehmkuhl, and Ricardo Vinuesa. 2022. "Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes" Actuators 11, no. 12: 359. https://doi.org/10.3390/act11120359

Varela, P., Suárez, P., Alcántara-Ávila, F., Miró, A., Rabault, J., Font, B., García-Cuevas, L. M., Lehmkuhl, O., & Vinuesa, R. (2022). Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes. Actuators, 11(12), 359. https://doi.org/10.3390/act11120359