Reduced Order Modeling

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
Cite Source Document
Physics - Informed Machine Learning for Reduced Space Chemical Kinetics
On the application of principal component transport for compression ignition of lean fuel/air mixtures under engine relevant conditions
Principal component transport-based data-driven reduced-order models (PC-transport ROM) are being increasingly adopted as a combustion …
Ki Sung Jung, Anuj Kumar, Tarek Echekki, Jacqueline H. Chen
Cite Source Document DOI
On the application of principal component transport for compression ignition of lean fuel/air mixtures under engine relevant conditions
Acceleration of turbulent combustion DNS via principal component transport
We investigate the implementation of principal component (PC) transport to accelerate the direct numerical simulation (DNS) of …
Anuj Kumar, Martin Rieth, Opeoluwa Owoyele, Jacqueline H. Chen, Tarek Echekki
Cite Source Document DOI
Acceleration of turbulent combustion DNS via principal component transport