106 citations · 267 across the 7 of their papers we have counts for
3 papers · 1 filter
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning
Kevin T. Carlberg, Antony Jameson, Mykel J. Kochenderfer +3
Data I/O poses a significant bottleneck in large-scale CFD simulations; thus, practitioners would like to significantly reduce the number of times the solution is saved to disk, ye…
High-Order Computational Fluid Dynamics Simulations of a Spinning Golf Ball
Jacob Crabill, Freddie Witherden, Antony Jameson
This paper presents the first high-order computational fluid dynamics (CFD) simulations of static and spinning golf balls at realistic flow conditions. The present results are show…
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
Jeremy Morton, Freddie D. Witherden, Antony Jameson +1
The design of flow control systems remains a challenge due to the nonlinear nature of the equations that govern fluid flow. However, recent advances in computational fluid dynamics…