Jonathan F. MacArt

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 9

Top Topics

Global Convergence

Iterative Methods

Top Venues

J. Comput. Phys.

Publications

Priyesh Kakka, Sheel Nidhan, Rishikesh Ranade, Jonathan F. MacArt
Sampling-based Distributed Training with Message Passing Neural Network. CoRR (2024)
Justin A. Sirignano, Jonathan F. MacArt
Dynamic Deep Learning LES Closures: Online Optimization With Embedded DNS. CoRR (2023)
Justin A. Sirignano, Jonathan F. MacArt, Konstantinos Spiliopoulos
PDE-constrained models with neural network terms: Optimization and global convergence. J. Comput. Phys. 481 (2023)
Justin A. Sirignano, Jonathan F. MacArt
Deep Learning Closure Models for Large-Eddy Simulation of Flows around Bluff Bodies. CoRR (2022)
Justin A. Sirignano, Jonathan F. MacArt, Konstantinos Spiliopoulos
PDE-constrained Models with Neural Network Terms: Optimization and Global Convergence. CoRR (2021)
Jonathan F. MacArt, Justin A. Sirignano, Jonathan B. Freund
Embedded training of neural-network sub-grid-scale turbulence models. CoRR (2021)
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 (2020)
Jonathan B. Freund, Jonathan F. MacArt, Justin A. Sirignano
DPM: A deep learning PDE augmentation method (with application to large-eddy simulation). CoRR (2019)
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 (2016)