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Jonathan F. MacArt
Jonathan F. MacArt
Assistant Professor at University of Notre Dame
Verified email at nd.edu - Homepage
Title
Cited by
Cited by
Year
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
1182020
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
652018
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
632016
Embedded training of neural-network subgrid-scale turbulence models
JF MacArt, J Sirignano, JB Freund
Physical Review Fluids 6 (5), 050502, 2021
402021
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
262018
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
252019
PDE-constrained models with neural network terms: Optimization and global convergence
J Sirignano, J MacArt, K Spiliopoulos
Journal of Computational Physics 481, 112016, 2023
172023
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
172020
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
132021
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
92019
Damköhler number scaling of active cascade effects in turbulent premixed combustion
JF MacArt, ME Mueller
Physics of Fluids 33 (3), 2021
82021
Deep learning closure models for large-eddy simulation of flows around bluff bodies
J Sirignano, JF MacArt
Journal of Fluid Mechanics 966, A26, 2023
72023
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
62021
Deep Learning Closure of the Navier--Stokes Equations for Transitional Flows
JF MacArt, J Sirignano, M Panesi
AIAA SCITECH 2022 Forum, 1703, 2022
42022
Data-driven dimension reduction in turbulent combustion: Utility and limitations
AC Nunno, BA Perry, JF Macart, ME Mueller
AIAA Scitech 2019 Forum, 2010, 2019
42019
Computational simulation and modeling of heat release effects on turbulence in turbulent reacting flow
JF MacArt
Princeton University, 2018
42018
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
32018
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
22023
Dynamic Deep Learning LES Closures: Online Optimization With Embedded DNS
J Sirignano, JF MacArt
arXiv preprint arXiv:2303.02338, 2023
22023
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
22020
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