| Wall turbulence at high friction Reynolds numbers S Hoyas, M Oberlack, F Alcántara-Ávila, SV Kraheberger, J Laux Physical Review Fluids 7 (1), 014602, 2022 | 72 | 2022 |
| DNS of thermal channel flow up to Reτ= 2000 for medium to low Prandtl numbers F Alcántara-Ávila, S Hoyas, MJ Pérez-Quiles International journal of heat and mass transfer 127, 349-361, 2018 | 50 | 2018 |
| Turbulence statistics of arbitrary moments of wall-bounded shear flows: A symmetry approach M Oberlack, S Hoyas, SV Kraheberger, F Alcántara-Ávila, J Laux Physical Review Letters 128 (2), 024502, 2022 | 38 | 2022 |
| Direct numerical simulation of thermal channel flow for F Alcántara-Ávila, S Hoyas, MJ Pérez-Quiles Journal of Fluid Mechanics 916, A29, 2021 | 38 | 2021 |
| Direct numerical simulation of thermal channel flow for medium–high Prandtl numbers up to Reτ= 2000 F Alcántara-Ávila, S Hoyas International Journal of Heat and Mass Transfer 176, 121412, 2021 | 32 | 2021 |
| Deep reinforcement learning for flow control exploits different physics for increasing Reynolds number regimes P Varela, P Suárez, F Alcántara-Ávila, A Miró, J Rabault, B Font, ... Actuators 11 (12), 359, 2022 | 24 | 2022 |
| A code for simulating heat transfer in turbulent channel flow F Lluesma-Rodríguez, F Alcantara-Avila, MJ Pérez-Quiles, S Hoyas Mathematics 9 (7), 756, 2021 | 17 | 2021 |
| Turbulent channel flow at Reτ = 10000 S Hoyas, M Oberlack, S Kraheberger, F Alcantara-Avila APS Division of Fluid Dynamics Meeting Abstracts, H19. 001, 2019 | 12 | 2019 |
| Effective control of two-dimensional Rayleigh–Bénard convection: Invariant multi-agent reinforcement learning is all you need C Vignon, J Rabault, J Vasanth, F Alcántara-Ávila, M Mortensen, ... Physics of Fluids 35 (6), 2023 | 11 | 2023 |
| Evidences of persisting thermal structures in Couette flows F Alcántara-Ávila, S Gandía-Barberá, S Hoyas International Journal of Heat and Fluid Flow 76, 287-295, 2019 | 10 | 2019 |
| Predicting coherent turbulent structures via deep learning D Schmekel, F Alcántara-Ávila, S Hoyas, R Vinuesa Frontiers in Physics 10, 888832, 2022 | 8 | 2022 |
| Stratification effect on extreme-scale rolls in plane Couette flows S Gandía-Barberá, F Alcántara-Ávila, S Hoyas, V Avsarkisov Physical Review Fluids 6 (3), 034605, 2021 | 4 | 2021 |
| Active flow control for three-dimensional cylinders through deep reinforcement learning P Suárez, F Alcántara-Ávila, A Miró, J Rabault, B Font, O Lehmkuhl, ... arXiv preprint arXiv:2309.02462, 2023 | 2 | 2023 |
| Active flow control of a turbulent separation bubble through deep reinforcement learning B Font, F Alcántara-Ávila, J Rabault, R Vinuesa, O Lehmkuhl arXiv preprint arXiv:2403.20295, 2024 | | 2024 |
| Validation of symmetry-induced high moment velocity and temperature scaling laws in a turbulent channel flow F Alcántara-Ávila, LM García-Raffi, S Hoyas, M Oberlack Physical Review E 109 (2), 025104, 2024 | | 2024 |
| Deep reinforcement learning for active separation control in a turbulent boundary layer F Alcántara-Ávila, B Font, J Rabault, R Vinuesa, O Lehmkuhl Bulletin of the American Physical Society, 2023 | | 2023 |
| Active flow control for three-dimensional cylinders through deep reinforcement learning P Suárez Morales, F Alcántara Ávila, A Miró Jané, J Rabault, ... 14th International ERCOFTAC Symposium on Engineering, Turbulence, Modelling …, 2023 | | 2023 |
| Study of the Thermal Field of Turbulent Channel Flows Via Direct Numerical Simulations F Alcántara Ávila Universitat Politčcnica de Valčncia, 2022 | | 2022 |
| DNS Channel Data Re_tau= 10000 high moments M Oberlack, S Hoyas, S Kraheberger, F Alcántara-Ávila, J Laux | | 2021 |
| DNS Channel Data Re_tau= 10000 S Hoyas, M Oberlack, F Alcántara-Ávila, S Kraheberger, J Laux | | 2021 |
