| Spatio-temporal deep learning models of 3D turbulence with physics informed diagnostics AT Mohan, D Tretiak, M Chertkov, D Livescu Journal of Turbulence 21 (9-10), 484-524, 2020 | 56 | 2020 |
| Physics-constrained generative adversarial networks for 3D turbulence D Tretiak, AT Mohan, D Livescu arXiv preprint arXiv:2212.00217, 2022 | 3 | 2022 |
| Assessment of Machine Learning Wall Modeling Approaches for Large Eddy Simulation of Gas Turbine Film Cooling Flows: An a Priori Study T Kumar, P Pal, S Wu, AC Nunno, O Owoyele, MM Joly, D Tretiak Journal of Engineering for Gas Turbines and Power 146 (8), 081019, 2024 | 2 | 2024 |
| Development of a data-driven wall model for large-eddy simulation of gas turbine film cooling flows T Kumar, P Pal, A Nunno, S Wu, O Owoyele, M Joly, D Tretiak Bulletin of the American Physical Society 67, 2022 | 1 | 2022 |
| Physics-Constrained Forecasting of Fluid Dynamics with Reservoir Computing D Tretiak, A Bizyaeva, N Kutz, S Brunton Bulletin of the American Physical Society, 2024 | | 2024 |
| Development of a Machine Learning Wall Model for Large-Eddy Simulation of Gas Turbine Film Cooling Flows T Kumar, P Pal, S Wu, AC Nunno, O Owoyele, M Joly, D Tretiak AIAA SCITECH 2023 Forum, 1254, 2023 | | 2023 |
| Embedding Physics as Hard Constraints in Generative Adversarial Networks for 3D Turbulence D Tretiak, A Mohan, D Livescu APS Division of Fluid Dynamics Meeting Abstracts, S01. 016, 2020 | | 2020 |
| The ISTI Rapid Response on Exploring Cloud Computing 2018 C Coffrin, J Arnold, S Eidenbenz, D Aberle, J Ambrosiano, Z Baker, ... arXiv preprint arXiv:1901.01331, 2019 | | 2019 |
Daniel LivescuScientist, Los Alamos National LaboratoryVerified email at lanl.gov