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physics.comp-ph2019
Parameter-Conditioned Sequential Generative Modeling of Fluid Flows
Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer
The computational cost associated with simulating fluid flows can make it infeasible to run many simulations across multiple flow conditions. Building upon concepts from generative…
physics.comp-ph2018★ 74 cited
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…