| Predictions of turbulent shear flows using deep neural networks PA Srinivasan, L Guastoni, H Azizpour, P Schlatter, R Vinuesa Physical Review Fluids 4 (5), 054603, 2019 | 217 | 2019 |
| Convolutional-network models to predict wall-bounded turbulence from wall quantities L Guastoni, A Güemes, A Ianiro, S Discetti, P Schlatter, H Azizpour, ... Journal of Fluid Mechanics 928, A27, 2021 | 161 | 2021 |
| Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence H Eivazi, L Guastoni, P Schlatter, H Azizpour, R Vinuesa International Journal of Heat and Fluid Flow 90, 108816, 2021 | 70 | 2021 |
| Deep reinforcement learning for turbulent drag reduction in channel flows L Guastoni, J Rabault, P Schlatter, H Azizpour, R Vinuesa The European Physical Journal E 46 (4), 27, 2023 | 37 | 2023 |
| Prediction of wall-bounded turbulence from wall quantities using convolutional neural networks L Guastoni, MP Encinar, P Schlatter, H Azizpour, R Vinuesa Journal of physics: conference series 1522 (1), 012022, 2020 | 36 | 2020 |
| On the use of recurrent neural networks for predictions of turbulent flows L Guastoni, PA Srinivasan, H Azizpour, P Schlatter, R Vinuesa arXiv preprint arXiv:2002.01222, 2020 | 12 | 2020 |
| Predicting the temporal dynamics of turbulent channels through deep learning G Borrelli, L Guastoni, H Eivazi, P Schlatter, R Vinuesa International Journal of Heat and Fluid Flow 96, 109010, 2022 | 10 | 2022 |
| Predicting the wall-shear stress and wall pressure through convolutional neural networks AG Balasubramanian, L Guastoni, P Schlatter, H Azizpour, R Vinuesa International Journal of Heat and Fluid Flow 103, 109200, 2023 | 5 | 2023 |
| Predicting the near-wall region of turbulence through convolutional neural networks AG Balasubramanian, L Guastoni, A Güemes, A Ianiro, S Discetti, ... arXiv preprint arXiv:2107.07340, 2021 | 5 | 2021 |
| Non-intrusive sensing in turbulent boundary layers via deep fully-convolutional neural networks L Guastoni, AG Balasubramanian, A Güemes, A Ianiro, S Discetti, ... arXiv preprint arXiv:2208.06024, 2022 | 3 | 2022 |
| Deep reinforcement learning for active drag reduction in wall turbulence L Guastoni, A Ghadirzadeh, J Rabault, P Schlatter, H Azizpour, R Vinuesa APS Division of Fluid Dynamics Meeting Abstracts, A19. 007, 2021 | 2 | 2021 |
| Direct numerical simulation of a zero-pressure-gradient turbulent boundary layer with passive scalars up to Prandtl number Pr= 6 AG Balasubramanian, L Guastoni, P Schlatter, R Vinuesa Journal of Fluid Mechanics 974, A49, 2023 | 1 | 2023 |
| Discovering novel control strategies for turbulent flows through deep reinforcement learning R Vinuesa, L Guastoni, J Rabault, H Azizpour Bulletin of the American Physical Society, 2023 | | 2023 |
| Easy attention: A simple self-attention mechanism for transformer-based time-series reconstruction and prediction R Vinuesa, M Sanchis-Agudo, Y Wang, L Guastoni, K Duraisamy | | 2023 |
| Drag-reduction strategies in wall-bounded turbulent flows using deep reinforcement learning L Guastoni, J Rabault, H Azizpour, R Vinuesa arXiv preprint arXiv:2309.02943, 2023 | | 2023 |
| Discovering drag reduction strategies in wall-bounded turbulent flows using deep reinforcement learning L Guastoni, J Rabault, P Schlatter, R Vinuesa, H Azizpour ICLR 2023 Workshop on Physics for Machine Learning, 2023 | | 2023 |
| Direct numerical simulation of a zero-pressure-gradient turbulent boundary layer with passive scalars up to Prandtl number Pr= 6 A Geetha Balasubramanian, L Guastoni, P Schlatter, R Vinuesa Journal of Fluid Mechanics 974, 2023 | | 2023 |
| Time, space and control: deep-learning applications to turbulent flows L Guastoni KTH Royal Institute of Technology, 2023 | | 2023 |
| Fully-convolutional networks for velocity-field predictions based on the wall heat flux in turbulent boundary layers L Guastoni, A Geetha Balasubramanian, A Güemes, A Ianiro, S Discetti, ... | | 2023 |
| Active Drag Reduction in Turbulent Open Channel Flow using Deep Reinforcement Learning L Guastoni, J Rabault, A Ghadirzadeh, P Schlatter, H Azizpour, R Vinuesa Bulletin of the American Physical Society 67, 2022 | | 2022 |
