| Influence of corner geometry on the secondary flow in turbulent square ducts A Vidal, R Vinuesa, P Schlatter, HM Nagib International Journal of Heat and Fluid Flow 67, 69-78, 2017 | 47 | 2017 |
| An automated machine learning-genetic algorithm framework with active learning for design optimization O Owoyele, P Pal, A Vidal Torreira Journal of Energy Resources Technology 143 (8), 082305, 2021 | 45 | 2021 |
| Application of an automated machine learning-genetic algorithm (AutoML-GA) coupled with computational fluid dynamics simulations for rapid engine design optimization O Owoyele, P Pal, A Vidal Torreira, D Probst, M Shaxted, M Wilde, ... International Journal of Engine Research 23 (9), 1586-1601, 2022 | 43 | 2022 |
| Workflows community summit: Advancing the state-of-the-art of scientific workflows management systems research and development RF da Silva, H Casanova, K Chard, T Coleman, D Laney, D Ahn, S Jha, ... arXiv preprint arXiv:2106.05177, 2021 | 21 | 2021 |
| Secondary flow in spanwise-periodic in-phase sinusoidal channels A Vidal, HM Nagib, P Schlatter, R Vinuesa Journal of Fluid Mechanics 851, 288-316, 2018 | 21 | 2018 |
| Turbulent rectangular ducts with minimum secondary flow A Vidal, R Vinuesa, P Schlatter, HM Nagib International Journal of Heat and Fluid Flow 72, 317-328, 2018 | 18 | 2018 |
| Impact of corner geometry on the secondary flow in turbulent ducts A Vidal, R Vinuesa, P Schlatter, HM Nagib Proceedings of the 10th International Symposium on Turbulence and Shear Flow …, 2017 | 13 | 2017 |
| High-resolution simulations of a turbulent boundary layer impacting two obstacles in tandem M Atzori, P Torres, A Vidal, S Le Clainche, S Hoyas, R Vinuesa Physical Review Fluids 8 (6), 063801, 2023 | 7 | 2023 |
| Spectral-element simulation of the turbulent flow in an urban environment M Stuck, A Vidal, P Torres, HM Nagib, C Wark, R Vinuesa Applied Sciences 11 (14), 6472, 2021 | 7 | 2021 |
| Vorticity fluxes: A tool for three-dimensional and secondary flows in turbulent shear flows HM Nagib, A Vidal, R Vinuesa Journal of Fluids and Structures 89, 39-48, 2019 | 6 | 2019 |
| Vorticity fluxes and secondary flow: Relevance for turbulence modeling A Vidal, HM Nagib, R Vinuesa Physical Review Fluids 3 (7), 072602, 2018 | 6 | 2018 |
| High-resolution large-eddy simulations of simplified urban flows M Atzori, P Torres, A Vidal, SL Clainche, S Hoyas, R Vinuesa arXiv preprint arXiv:2207.07210, 2022 | 5 | 2022 |
| An automated machine learning-genetic algorithm (AutoML-GA) framework with active learning for design optimization O Owoyele, P Pal, A Vidal Torreira Internal Combustion Engine Division Fall Technical Conference 84034, V001T06A014, 2020 | 3 | 2020 |
| Prediction of distributed river sediment respiration rates using community‐generated data and machine learning SF Gary, TD Scheibe, E Rexer, AV Torreira, VA Garayburu‐Caruso, ... Journal of Geophysical Research: Machine Learning and Computation 1 (3 …, 2024 | 1 | 2024 |
| Models, data, and scripts associated with “Prediction of Distributed River Sediment Respiration Rates using Community-Generated Data and Machine Learning” S Gary, TD Scheibe, E Rexer, M Wilde, A Vidal Torreira, ... Environmental System Science Data Infrastructure for a Virtual Ecosystem …, 2024 | 1 | 2024 |
| An automated machine learning-genetic algorithm (AutoML-GA) approach for efficient simulation-driven engine design optimization. arXiv e-prints, arXiv-2101 O Owoyele, P Pal, A Vidal Torreira, D Probst, M Shaxted, M Wilde, ... | 1 | 2021 |
| Large-Eddy Simulation of Flows Through a Novel Vascular Access Device for Hemodialysis Access A Obabko, E Tsyrulnykov, R Rainsberger, AV Torreira, H Nagib, ... APS Division of Fluid Dynamics Meeting Abstracts, A11. 008, 2017 | 1 | 2017 |
| Direct Numerical Simulation of Turbulent Wall-Bounded Flows in Moderately Complex Geometries AV Torreira Illinois Institute of Technology, 2017 | 1 | 2017 |
| Monthly Model-Experiment Cycles Guided by AI and ICON Science to Understand River Sediment Respiration at the Continental Scale TD Scheibe, S Gary, AE Goldman, BK Forbes, VA Garayburu-Caruso, ... AGU24, 2024 | | 2024 |
| Supporting Information for" Prediction of Distributed River Sediment Respiration Rates using Community-Generated Data and Machine Learning" T Scheibe, SF Gary, TD Scheibe, E Rexer, AV Torreira, ... Authorea Preprints, 2024 | | 2024 |
Michael WildeSoftware Architect, Argonne National Laboratory and Fellow, Computation Institute, University of ChicagoПодтвержден адрес электронной почты в домене mcs.anl.govPhilipp SchlatterProfessor in Fluid Mechanics, FAU Erlangen-Nürnberg and KTH StockholmПодтвержден адрес электронной почты в домене fau.de
Pinaki PalSenior Research Scientist, Advanced Propulsion and Power Department, Argonne National LaboratoryПодтвержден адрес электронной почты в домене anl.gov
Peter Kelly SenecalOwner, Convergent Science Inc.Подтвержден адрес электронной почты в домене convergecfd.com
