Bulletin of the American Physical Society
76th Annual Meeting of the Division of Fluid Dynamics
Sunday–Tuesday, November 19–21, 2023; Washington, DC
Session L17: Machine Learning for Inference and Analysis of Fluid Flows
8:00 AM–10:36 AM,
Monday, November 20, 2023
Room: 145B
Chair: Aaron Towne, University of Michigan
Abstract: L17.00001 : Fostering Open-source Resources and Practices within Deep Learning of Flow Physics*
8:00 AM–8:13 AM
Presenter:
Wai Tong Chung
(Stanford University)
Authors:
Wai Tong Chung
(Stanford University)
Bassem Akoush
(Stanford University)
Pushan Sharma
(Stanford University)
Matthias Ihme
(Stanford University)
*We are grateful for financial and computing support from the U.S. Department of Energy National Nuclear Security Administration, under award No. DE-NA0003968. The authors also acknowledge financial support from the NASA Early Stage Innovation Program with award No. 80NSSC22K0257, and the Department of Energy Office of Energy Efficiency Renewable Energy (EERE) with award No. DE-EE0008875.
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