| Physics-informed machine learning with smoothed particle hydrodynamics: Hierarchy of reduced Lagrangian models of turbulence M Woodward, Y Tian, C Hyett, C Fryer, M Stepanov, D Livescu, ... Physical Review Fluids 8 (5), 054602, 2023 | 12* | 2023 |
| Lagrangian large eddy simulations via physics-informed machine learning Y Tian, M Woodward, M Stepanov, C Fryer, C Hyett, D Livescu, ... Proceedings of the National Academy of Sciences 120 (34), e2213638120, 2023 | 7 | 2023 |
| Data-Driven Mori-Zwanzig: Approaching a Reduced Order Model for Hypersonic Boundary Layer Transition M Woodward, Y Tian, AT Mohan, YT Lin, C Hader, D Livescu, HF Fasel, ... AIAA SCITECH 2023 Forum, 1624, 2023 | 3 | 2023 |
| Data-Driven Mori-Zwanzig: Reduced Order Modeling of Sparse Sensors Measurements for Boundary Layer Transition M Woodward, Y Tian, YT Lin, AT Mohan, C Hader, HF Fasel, M Chertkov, ... AIAA AVIATION 2023 Forum, 4256, 2023 | 1 | 2023 |
| Lagrangian Large Eddy Simulations via Physics-Informed Machine Learning M Chertkov, Y Tian, M Stepanov, C Fryer, M Woodward, C Hyett, ... Bulletin of the American Physical Society 67, 2022 | 1 | 2022 |
| Machine Learning Lagrangian Large Eddy Simulations with Smoothed Particle Hydrodynamics Y Tian, M Chertkov, M Woodward, M Stepanov, C Fryer, C Hyett, ... APS Division of Fluid Dynamics Meeting Abstracts, A11. 008, 2021 | 1 | 2021 |
| Direct Numerical Simulations of Laminar-Turbulent Transition for Transonic Boundary Layers C Hader, N Deng, M Woodward, HF Fasel AIAA Scitech 2021 Forum, 1658, 2021 | 1 | 2021 |
| Modal Analysis with Mori-Zwanzig Formalism: Application to Hypersonic Boundary Layer Flow M Woodward, Y Tian, YT Lin, C Hader, H Fasel, M Chertkov, D Livescu Bulletin of the American Physical Society, 2023 | | 2023 |
| Mori-Zwanzig Modal Decomposition M Woodward, Y Tian, YT Lin, C Hader, H Fasel, D Livescu arXiv preprint arXiv:2311.09524, 2023 | | 2023 |
| Reduced Lagrangian and Mori-Zwanzig Models: Applications To Turbulent Flows M Woodward The University of Arizona, 2023 | | 2023 |
| Physics informed reduced electron evolution models from rapid target heating based on measurements M Woodward, R Chiodi, D Livescu, M McKerns, H Morris, N Ramey, ... APS Division of Plasma Physics Meeting Abstracts 2023, CO03. 015, 2023 | | 2023 |
| Applicability of Machine Learning Methodologies to Model the Statistical Evolution of the Coarse-Grained Velocity Gradient Tensor C Hyett, Y Tian, M Woodward, M Chertkov, D Livescu, M Stepanov Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Physics Informed Machine Learning with Smoothed Particle Hydrodynamics: Compressiblity and Shocks M Woodward, Y Tian, C Hyett, C Fryer, D Livescu, M Stepanov, ... Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Data-driven Mori-Zwanzig operators for boundary layer transition M Woodward, Y Tian, A Mohan, YT Lin, M Chertkov, D Livescu Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Physics-informed Machine Learning for Reduced-order Modeling of Lagrangian Turbulence Y Tian, M Woodward, M Stepanov, C Fryer, C Hyett, M Chertkov, ... APS March Meeting Abstracts 2022, S49. 006, 2022 | | 2022 |
| Physics Informed Machine Learning of Smooth Particle Hydrodynamics: Solving Inverse Problems using a mixed mode approach M Woodward, M Chertkov, Y Tian, M Stepanov, D Livescu, C Hyett, ... APS Division of Fluid Dynamics Meeting Abstracts, N01. 050, 2021 | | 2021 |
| Physics Informed Machine Learning of Smooth Particle Hydrodynamics: Validation of the Lagrangian Turbulence Approach M Woodward, Y Tian, M Chertkov, M Stepanov, D Livescu, C Hyett, ... APS Division of Fluid Dynamics Meeting Abstracts, T24. 008, 2021 | | 2021 |
| Machine Learning of Reduced Lagrangian Models of Turbulence M Woodward, Y Tian, M Chertkov, M Stepanov, D Livescu, C Fryer APS Division of Fluid Dynamics Meeting Abstracts, S01. 027, 2020 | | 2020 |
