Neural-ISAM hybridizes in-situ adaptive tabulation with on-the-fly neural network training to prune manifold databases, lowering memory for complex combustion models in LES of Sandia flames.
Artificial neural networks for chemistry representation in numerical simulation of the flamelet-based models for turbulent combustion.IEEE Access, 8:80020–80029
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Neural-ISAM: A hybrid in-situ machine learning approach for complex manifold-based combustion models in LES of turbulent flames
Neural-ISAM hybridizes in-situ adaptive tabulation with on-the-fly neural network training to prune manifold databases, lowering memory for complex combustion models in LES of Sandia flames.