Jonathan Freund
Machine Learning for Combustion LES Closures
(baxh)Jan 2019 - Dec 2019
Simulation and I/O Scaling for An Integrated Multi-physics Code
(bajg)Mar 2017 - Sep 2017
2021
Jon MacArt, Justin Sirignano, and Jonathan Freund (2021): Embedded training of neural-network sub-grid-scale turbulence models, Physical Review Fluids (in press), American Physical Society
2020
Justin Sirignano, Jonathan F. MacArt, and Jonathan B. Freund (2020): DPM: A deep learning PDE augmentation method with application to large-eddy simulation, Journal of Computational Physics, Elsevier Inc., Vol 423, pp109811
2017
Matthias Diener, Sam White, Laxmikant V. Kale, Michael Campbell, Daniel J. Bodony, and Jonathan B. Freund (2017): Improving the Memory Access Locality of Hybrid MPI Applications, ACM Press, Proceedings of the 24th European MPI Users' Group Meeting (EuroMPI '17), pp11:1-11:10, Chicago, Illinois, U.S.A.
2014
David Buchta, Aaron Anderson, and Jonathan B. Freund (2014): Near-Field Shocks Radiated by High-Speed Free-Shear-Flow Turbulence, American Institute of Aeronautics and Astronautics, 20th AIAA/CEAS Aeroacoustics Conference, Atlanta, Georgia, U.S.A.
2012
Aaron Anderson and Jonathan Freund (2012): Source Mechanisms of Jet Crackle, American Institute of Aeronautics and Astronautics (AIAA), 18th AIAA/CEAS Aeroacoustics Conference (33rd AIAA Aeroacoustics Conference), Colorado Springs, Colorado, U.S.A.
2019
Jonathan Freund, Justin Sirignano, Jonathan MacArt (2019): Machine-Learning Turbulence Models for Simulations of Turbulent Combustion, 2019 Blue Waters Annual Report, pp148-149
Justin Sirignano, J. MacArt, and J. Freund: Embedded training of neural-network sub-grid-scale turbulence models
73rd Annual Meeting of the American Physical Society Division of Fluid Dynamics; Chicago, Illinois, U.S.A., Nov 23, 2020
New Method Brings Physics to Deep Learning to Better Simulate Turbulence
Nov 11, 2020
Researchers at the University of Illinois Urbana-Champaign developed a new method that brings physics into the machine learning process to make better predictions.
Sources:
- https://www.hpcwire.com/off-the-wire/new-method-brings-physics-to-deep-learning-to-better-simulate-turbulence/
- https://techxplore.com/news/2020-11-method-physics-deep-simulate-turbulence.html
- https://scienceblog.com/519585/new-method-brings-physics-to-deep-learning-to-better-simulate-turbulence/
- https://www.tunisiesoir.com/science/research-new-method-brings-physics-to-deep-learning-to-better-simulate-turbulence-tdnews-25684-2020/
- https://www.techexplorist.com/bringing-physics-deep-learning-better-simulate-turbulence/36156/
