Okezzi Ukorigho

Entropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics

Okezzi Ukorigho, Opeoluwa Owoyele

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…Read more