DPM: A deep learning PDE augmentation method with application to large-eddy simulation J Sirignano, JF MacArt, JB Freund Journal of Computational Physics 423, 109811, 2020 | 127 | 2020 |
Effects of combustion heat release on velocity and scalar statistics in turbulent premixed jet flames at low and high Karlovitz numbers JF MacArt, T Grenga, ME Mueller Combustion and Flame 191, 468-485, 2018 | 67 | 2018 |
Semi-implicit iterative methods for low Mach number turbulent reacting flows: Operator splitting versus approximate factorization JF MacArt, ME Mueller Journal of Computational Physics 326, 569–595, 2016 | 66 | 2016 |
Embedded training of neural-network subgrid-scale turbulence models JF MacArt, J Sirignano, JB Freund Physical Review Fluids 6 (5), 050502, 2021 | 43 | 2021 |
Dynamic mode decomposition of a direct numerical simulation of a turbulent premixed planar jet flame: convergence of the modes T Grenga, JF MacArt, ME Mueller Combustion Theory and Modelling 22 (4), 795-811, 2018 | 26 | 2018 |
Evolution of flame-conditioned velocity statistics in turbulent premixed jet flames at low and high Karlovitz numbers JF MacArt, T Grenga, ME Mueller Proceedings of the Combustion Institute 37 (2), 2503-2510, 2019 | 25 | 2019 |
PDE-constrained models with neural network terms: Optimization and global convergence J Sirignano, J MacArt, K Spiliopoulos Journal of Computational Physics 481, 112016, 2023 | 18 | 2023 |
Heat release effects on the Reynolds stress budgets in turbulent premixed jet flames at low and high Karlovitz numbers J Lee, JF MacArt, ME Mueller Combustion and Flame 216, 1-8, 2020 | 16 | 2020 |
Detailed simulation of laser-induced ignition, spherical-flame acceleration, and the origins of hydrodynamic instability JF MacArt, JM Wang, PP Popov, JB Freund Proceedings of the Combustion Institute 38 (2), 2341-2349, 2021 | 14 | 2021 |
Dpm: A deep learning pde augmentation method (with application to large-eddy simulation) JB Freund, JF MacArt, J Sirignano arXiv preprint arXiv:1911.09145, 2019 | 11 | 2019 |
Damköhler number scaling of active cascade effects in turbulent premixed combustion JF MacArt, ME Mueller Physics of Fluids 33 (3), 2021 | 10 | 2021 |
Deep learning closure models for large-eddy simulation of flows around bluff bodies J Sirignano, JF MacArt Journal of Fluid Mechanics 966, A26, 2023 | 9 | 2023 |
Flow dynamics of laser-induced breakdown at a fuel–oxidizer interface and its effect on ignition JM Wang, JF MacArt, JB Freund Combustion and Flame 229, 111375, 2021 | 7 | 2021 |
Deep Learning Closure of the Navier--Stokes Equations for Transitional Flows JF MacArt, J Sirignano, M Panesi AIAA SCITECH 2022 Forum, 1703, 2022 | 4 | 2022 |
Data-driven dimension reduction in turbulent combustion: Utility and limitations AC Nunno, BA Perry, JF Macart, ME Mueller AIAA Scitech 2019 Forum, 2010, 2019 | 4 | 2019 |
Computational simulation and modeling of heat release effects on turbulence in turbulent reacting flow JF MacArt Princeton University, 2018 | 4 | 2018 |
Deep Learning Closure of the Navier–Stokes Equations for Transition-Continuum Flows AS Nair, J Sirignano, M Panesi, JF MacArt AIAA journal 61 (12), 5484-5497, 2023 | 3 | 2023 |
Dynamic deep learning LES closures: Online optimization with embedded DNS J Sirignano, JF MacArt arXiv preprint arXiv:2303.02338, 2023 | 3 | 2023 |
Scaling and modeling of heat-release effects on subfilter turbulence in premixed combustion JF MacArt, ME Mueller Center for Turbulence Research Proceedings of the Summer Program, 299-308, 2018 | 3 | 2018 |
Embedded training of neural-network sub-grid-scale turbulence models J Sirignano, J Macart, J Freund APS Division of Fluid Dynamics Meeting Abstracts, S01. 014, 2020 | 2 | 2020 |