Physics Informed Machine Learning

A Physics-Constrained NeuralODE Approach for Robust Learning of Stiff Chemical Kinetics
The high computational cost associated with solving for detailed chemistry poses a significant challenge for predictive computational …
Tadbhagya Kumar, Anuj Kumar, Pinaki Pal
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A Physics-Constrained NeuralODE Approach for Robust Learning of Stiff Chemical Kinetics
Physics - Informed Machine Learning for Reduced Space Chemical Kinetics
Modeling detailed chemical kinetics stands as a primary challenge in combustion simulations. Recent machine learning (ML) approaches …
Anuj Kumar, Tarek Echekki
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Physics - Informed Machine Learning for Reduced Space Chemical Kinetics