A quadratic reduced-order model learned in specific-volume and molar-concentration coordinates predicts single-injector combustion dynamics beyond the training interval at five to six orders of magnitude lower cost.
TowardsReal-TimeComputational-Fluid-Dynamics-BasedAeroelasticComputations using a Database of Reduced-Order Information,
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Learning physics-based reduced-order models for a single-injector combustion process
A quadratic reduced-order model learned in specific-volume and molar-concentration coordinates predicts single-injector combustion dynamics beyond the training interval at five to six orders of magnitude lower cost.