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Author

Jonathan B. Freund

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Preprint Aug 2026

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 embedded model leads...

Seung Won Suh, J. F. MacArt, Luke N. Olson et al. · 0 citations

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