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.
A review on clean ammonia as a potential fuel for power generators
1 Pith paper cite this work, alongside 505 external citations. Polarity classification is still indexing.
1
Pith paper citing it
505
external citations · OpenAlex
citation-role summary
background 1
citation-polarity summary
fields
physics.flu-dyn 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
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.