A deep-learning surrogate using flame-interpolation augmentation and a direct power-transform target reproduces CVODE flame chemistry and speeds up ammonia-methane simulations by about 20x.
Emission and Combustion Characteristics of Ammonia/Methane Mixtures for Carbon Reduction and Alternative Fuel Development
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Enhancing deep learning of ammonia/natural gas combustion kinetics via physics-aware data augmentation and scale separation
A deep-learning surrogate using flame-interpolation augmentation and a direct power-transform target reproduces CVODE flame chemistry and speeds up ammonia-methane simulations by about 20x.