A TVD neural network closure and application to turbulent combustion

Published: 01 Jan 2025, Last Modified: 06 May 2025J. Comput. Phys. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Neural networks embedded in PDEs can violate physical bounds unless constrained.•Motivated by established schemes, a new neural network approach is introduced.•It is demonstrated for subgrid-scale modeling for turbulent combustion.
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