A review article argues physics-informed neural networks are a faster, more data-efficient route to clean combustion modeling, but its 'transformative' thesis is undercut by its own scaling caveats and duplicated sections.
Large eddy simulation of the effects of radiative heat loss on combustion instability prediction
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Physics-Informed Neural Networks in Clean Combustion: A Pathway to Sustainable Aerospace Propulsion
A review article argues physics-informed neural networks are a faster, more data-efficient route to clean combustion modeling, but its 'transformative' thesis is undercut by its own scaling caveats and duplicated sections.