physics.flu-dyn · 2026-07-13 · No. 52
Fluid Dynamics, 2026-07-13.
1 new papers in physics.flu-dyn. Titles, authors,
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01 — The papers
1 entries-
01
Entropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics
Okezzi Ukorigho, Opeoluwa Owoyele
physics.flu-dyn · cs.LG
We present a physics-constrained machine learning framework for accelerating the direct numerical simulation (DNS) of turbulent reacting flows. The model replaces the direct evaluation of detailed chemical source terms with a surrogate that predicts reaction rates from a reduced thermochemical state. To improve physical consistency, the second law of thermodynamics is incorporated as a training constraint by enforcing non-negative entropy...
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