NH₃ H₂ N₂ Combustion
Reduced Order Model
Machine learning / Combustion / CFD
A physics-guided reduced-order model combining adiabatic CFD, conjugate heat-transfer simulation, finite-rate Cantera/Otomo chemistry, and experimental residual machine learning to predict burner temperature, NO, and product composition.
View project