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.
Predicting bifurcation and amplitude death characteristics of thermoacoustic instabilities from pinns-derived van der pol oscillators
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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.