Ricardo Vinuesa, Ph.D.
Affiliations: | 2013 | Mechanical and Aerospace Engineering | Illinois Institute of Technology, Chicago, IL, United States |
Area:
Aerospace Engineering, Mechanical Engineering, Computer ScienceGoogle:
"Ricardo Vinuesa"Parents
Sign in to add mentor| Philipp Schlatter | grad student | 2013 | Illinois Institute of Technology | |
| (Synergetic computational and experimental studies of wall-bounded turbulent flows and their two-dimensionality.) | ||||
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Publications
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| Font B, Alcántara-Ávila F, Rabault J, et al. (2025) Deep reinforcement learning for active flow control in a turbulent separation bubble. Nature Communications. 16: 1422 |
| Guastoni L, Balasubramanian AG, Foroozan F, et al. (2024) Fully convolutional networks for velocity-field predictions based on the wall heat flux in turbulent boundary layers. Theoretical and Computational Fluid Dynamics. 39: 13 |
| Cremades A, Hoyas S, Deshpande R, et al. (2024) Identifying regions of importance in wall-bounded turbulence through explainable deep learning. Nature Communications. 15: 3864 |
| Solera-Rico A, Sanmiguel Vila C, Gómez-López M, et al. (2024) β-Variational autoencoders and transformers for reduced-order modelling of fluid flows. Nature Communications. 15: 1361 |
| Guastoni L, Rabault J, Schlatter P, et al. (2023) Correction to: Deep reinforcement learning for turbulent drag reduction in channel flows. The European Physical Journal. E, Soft Matter. 46: 51 |
| Guastoni L, Rabault J, Schlatter P, et al. (2023) Deep reinforcement learning for turbulent drag reduction in channel flows. The European Physical Journal. E, Soft Matter. 46: 27 |
| Yousif MZ, Yu L, Hoyas S, et al. (2023) A deep-learning approach for reconstructing 3D turbulent flows from 2D observation data. Scientific Reports. 13: 2529 |
| Atzori M, Köpp W, Chien SWD, et al. (2021) In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst. The Journal of Supercomputing. 78: 3605-3620 |
| Örlü R, Vinuesa R. (2020) Instantaneous wall-shear-stress measurements: advances and application to near-wall extreme events Measurement Science and Technology. 31: 112001 |
| Sánchez Abad N, Vinuesa R, Schlatter P, et al. (2020) Simulation strategies for the Food and Drug Administration nozzle using Nek5000 Aip Advances. 10: 025033 |