Probabilistic deep learning of turbulent premixed combustion
A probabilistic data-driven approach that models the filtered reaction rate in large-eddy simulation (LES) is investigated. We propose a novel framework that incorporates a conditional generative adversarial network and a Gaussian mixture model to take into account the statistical fluctuations that...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2023-08-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0146268 |