Extends a neural-network reduced-order model with a variational autoencoder to reconstruct vortex dynamics in high-Re turbulent flows across varying vehicle body geometries.
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Neural Network-Based Parametric Model Reduction for Predicting Turbulent Flow for Different Vehicle Geometries
Extends a neural-network reduced-order model with a variational autoencoder to reconstruct vortex dynamics in high-Re turbulent flows across varying vehicle body geometries.