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Journal Articles
- 2023
[j3]Justin A. Sirignano, Jonathan F. MacArt, Konstantinos Spiliopoulos:
PDE-constrained models with neural network terms: Optimization and global convergence. J. Comput. Phys. 481: 112016 (2023)- 2020
- [j2]Justin A. Sirignano, Jonathan F. MacArt
, Jonathan B. Freund:
DPM: A deep learning PDE augmentation method with application to large-eddy simulation. J. Comput. Phys. 423: 109811 (2020) - 2016
- [j1]Jonathan F. MacArt, Michael E. Mueller:
Semi-implicit iterative methods for low Mach number turbulent reacting flows: Operator splitting versus approximate factorization. J. Comput. Phys. 326: 569-595 (2016)
Informal and Other Publications
- 2024
- [i7]Priyesh Kakka, Sheel Nidhan, Rishikesh Ranade, Jonathan F. MacArt:
Sampling-based Distributed Training with Message Passing Neural Network. CoRR abs/2402.15106 (2024) - [i6]Seung Won Suh, Jonathan F. MacArt, Luke N. Olson, Jonathan B. Freund:
A TVD neural network closure and application to turbulent combustion. CoRR abs/2408.03413 (2024) - 2023
- [i5]Justin A. Sirignano, Jonathan F. MacArt:
Dynamic Deep Learning LES Closures: Online Optimization With Embedded DNS. CoRR abs/2303.02338 (2023) - 2022
- [i4]Justin A. Sirignano, Jonathan F. MacArt:
Deep Learning Closure Models for Large-Eddy Simulation of Flows around Bluff Bodies. CoRR abs/2208.03498 (2022) - 2021
- [i3]Jonathan F. MacArt, Justin A. Sirignano, Jonathan B. Freund:
Embedded training of neural-network sub-grid-scale turbulence models. CoRR abs/2105.01030 (2021) - [i2]Justin A. Sirignano, Jonathan F. MacArt, Konstantinos Spiliopoulos:
PDE-constrained Models with Neural Network Terms: Optimization and Global Convergence. CoRR abs/2105.08633 (2021) - 2019
- [i1]Jonathan B. Freund, Jonathan F. MacArt, Justin A. Sirignano:
DPM: A deep learning PDE augmentation method (with application to large-eddy simulation). CoRR abs/1911.09145 (2019)
Coauthor Index
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