arXiv (OAI Expanded)
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A physics-constrained machine-learning sub-grid-scale modeling approach for turbulent premixed flames
A physics-embedded training framework is used to close the sub-grid-scale dynamics of turbulent premixed flames. The trained model augments the resolved flow equations and is trained to match its predicted flow field to trusted data. An end-to-end optimization of the coupled resolved equations and e
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