| 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 | 265 | 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 | 213 | 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 | 88 | 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 | 77 | 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 | 40 | 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 | 22 | 2022 |
| 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 | 13 | 2020 |
| Easy attention: A simple attention mechanism for temporal predictions with transformers M Sanchis-Agudo, Y Wang, R Arnau, L Guastoni, J Lim, K Duraisamy, ... arXiv preprint arXiv:2308.12874, 2023 | 10 | 2023 |
| 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 | 9 | 2023 |
| Fully convolutional networks for velocity-field predictions based on the wall heat flux in turbulent boundary layers L Guastoni, AG Balasubramanian, F Foroozan, A Güemes, A Ianiro, ... Theoretical and Computational Fluid Dynamics 39 (1), 1-20, 2025 | 7* | 2025 |
| 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 |
| 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 | 4 | 2023 |
| 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 |
| Deep reinforcement learning for the management of the wall regeneration cycle in wall-bounded turbulent flows GM Cavallazzi, L Guastoni, R Vinuesa, A Pinelli Flow, Turbulence and Combustion, 1-27, 2024 | 1 | 2024 |
| Drag reduction in a minimal channel flow with scientific multi-agent reinforcement learning D Wälchli, L Guastoni, R Vinuesa, P Koumoutsakos Journal of Physics: Conference Series 2753 (1), 012024, 2024 | 1 | 2024 |
| Robust reproduction of PC-MRI data from DNS M Leskovec, L Guastoni, P Schlatter, R Vinuesa, F Lundell | 1 | 2024 |
| Time, space and control: deep-learning applications to turbulent flows L Guastoni KTH Royal Institute of Technology, 2023 | 1 | 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 | 1 | 2023 |
| Reusability report: Towards inflow generators for turbulence simulations through diffusion models R Vinuesa, L Guastoni | | 2024 |
| 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 |