In closed-loop homogeneous-reactor autoignition tests, CoK-PCA manifolds reproduce heat release rate and minor species better than PCA in the reaction zone, and the neural ODE solver avoids error growth seen with a standard ODE solver.
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An a-posteriori analysis of co-kurtosis PCA based dimensionality reduction using a neural ODE solver
In closed-loop homogeneous-reactor autoignition tests, CoK-PCA manifolds reproduce heat release rate and minor species better than PCA in the reaction zone, and the neural ODE solver avoids error growth seen with a standard ODE solver.