Search Results - "MacArt, Jonathan F."

Heat release effects on the Reynolds stress budgets in turbulent premixed jet flames at low and high Karlovitz numbers by Lee, Jinyoung, MacArt, Jonathan F., Mueller, Michael E.

“…In turbulent premixed flames at low Karlovitz number, combustion heat release can have a significant impact on turbulence. Thermal expansion in flame induces…”
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DPM: A deep learning PDE augmentation method with application to large-eddy simulation by Sirignano, Justin, MacArt, Jonathan F., Freund, Jonathan B.

“…•A method for leveraging known physics, expressed in a PDE, to learn closures for missing physics.•Optimization of combined PDE-ML system with stochastic…”
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Effects of combustion heat release on velocity and scalar statistics in turbulent premixed jet flames at low and high Karlovitz numbers by MacArt, Jonathan F., Grenga, Temistocle, Mueller, Michael E.

“…Theoretical scaling arguments for turbulent premixed combustion indicate that the pressure-dilatation source of turbulent kinetic energy becomes significant at…”
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Flow dynamics of laser-induced breakdown at a fuel–oxidizer interface and its effect on ignition by Wang, Jonathan M., MacArt, Jonathan F., Freund, Jonathan B.

“…Motivated by experimental observations, we analyze the ignition dynamics following a laser-induced breakdown near a distinct fuel–oxidizer interface using…”
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Dynamic mode decomposition of a direct numerical simulation of a turbulent premixed planar jet flame: convergence of the modes by Grenga, Temistocle, MacArt, Jonathan F., Mueller, Michael E.

“…Dynamic Mode Decomposition (DMD) is a technique that enables investigation of unsteady and dynamic phenomena by decomposing data into coherent modes with…”
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Semi-implicit iterative methods for low Mach number turbulent reacting flows: Operator splitting versus approximate factorization by MacArt, Jonathan F., Mueller, Michael E.

“…Two formally second-order accurate, semi-implicit, iterative methods for the solution of scalar transport–reaction equations are developed for Direct Numerical…”
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Evolution of flame-conditioned velocity statistics in turbulent premixed jet flames at low and high Karlovitz numbers by MacArt, Jonathan F., Grenga, Temistocle, Mueller, Michael E.

“…Turbulence in low Karlovitz number premixed flames is strongly affected by small-scale combustion heat release. At low Karlovitz number conditions,…”
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DPM: A deep learning PDE augmentation method with application to large-eddy simulation by Sirignano, Justin, MacArt, Jonathan F., Freund, Jonathan B.

“…A framework is introduced that leverages known physics to reduce overfitting in machine learning for scientific applications. The partial differential equation…”
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Detailed simulation of laser-induced ignition, spherical-flame acceleration, and the origins of hydrodynamic instability by MacArt, Jonathan F., Wang, Jonathan M., Popov, Pavel P., Freund, Jonathan B.

“…Ignition of a lean hydrogen–oxygen premixture by focused-laser-induced breakdown and subsequent three-dimensional expanding-flame instabilities are simulated…”
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Detailed simulation of laser-induced ignition, spherical-flame acceleration, and the origins of hydrodynamic instability by MacArt, Jonathan F., Wang, Jonathan M., Popov, Pavel P., Freund, Jonathan B.

“…Not provided…”
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Computational Simulation and Modeling of Heat Release Effects on Turbulence in Turbulent Reacting Flow by MacArt, Jonathan F

“…This dissertation concerns the analysis and modeling of turbulence dynamics in turbulent combustion. In certain regimes of turbulent combustion, dilatation…”
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Adjoint-based machine learning for active flow control by Liu, Xuemin, MacArt, Jonathan F

“…We develop neural-network active flow controllers using a deep learning PDE augmentation method (DPM). The sensitivities for optimization are computed using…”
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Dynamic Deep Learning LES Closures: Online Optimization With Embedded DNS by Sirignano, Justin, MacArt, Jonathan F

“…Deep learning (DL) has recently emerged as a candidate for closure modeling of large-eddy simulation (LES) of turbulent flows. High-fidelity training data is…”
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Deep Learning Closure Models for Large-Eddy Simulation of Flows around Bluff Bodies by Sirignano, Justin, MacArt, Jonathan F

“…A deep learning (DL) closure model for large-eddy simulation (LES) is developed and evaluated for incompressible flows around a rectangular cylinder at…”
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Sampling-based Distributed Training with Message Passing Neural Network by Kakka, Priyesh, Nidhan, Sheel, Ranade, Rishikesh, MacArt, Jonathan F

“…In this study, we introduce a domain-decomposition-based distributed training and inference approach for message-passing neural networks (MPNN). Our objective…”
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Deep Learning Closure of the Navier-Stokes Equations for Transition-Continuum Flows by Nair, Ashish S, Sirignano, Justin, Panesi, Marco, MacArt, Jonathan F

“…The predictive accuracy of the Navier-Stokes equations is known to degrade at the limits of the continuum assumption, thereby necessitating expensive and often…”
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A TVD neural network closure and application to turbulent combustion by Suh, Seung Won, MacArt, Jonathan F, Olson, Luke N, Freund, Jonathan B

“…Trained neural networks (NN) have attractive features for closing governing equations, but in the absence of additional constraints, they can stray from…”
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Understanding Latent Timescales in Neural Ordinary Differential Equation Models for Advection-Dominated Dynamical Systems by Nair, Ashish S, Barwey, Shivam, Pal, Pinaki, MacArt, Jonathan F, Maulik, Romit

“…The neural ordinary differential equation (ODE) framework has shown promise in developing accelerated surrogate models for complex systems described by partial…”
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Influence of adversarial training on super-resolution turbulence reconstruction by Nista, Ludovico, Schumann, Christoph David Karl, Bode, Mathis, Grenga, Temistocle, MacArt, Jonathan F, Attili, Antonio, Pitsch, Heinz

“…Phys. Rev. Fluids 9 (6), 2024, 064601 Supervised super-resolution deep convolutional neural networks (CNNs) have gained significant attention for their…”
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Embedded training of neural-network sub-grid-scale turbulence models by MacArt, Jonathan F, Sirignano, Justin, Freund, Jonathan B

“…Physical Review Fluids 6 (2021) 050502 The weights of a deep neural network model are optimized in conjunction with the governing flow equations to provide a…”
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