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Autoencoder for Turbulent Flow
The dataset is not explicitly described in the paper, but it is mentioned that the authors used a simple autoencoder to learn a low-order representation of the turbulent flow. -
Convolutional Autoencoder Echo State Network (CAE-ESN) for Turbulent Flow Pre...
The dataset is a two-dimensional turbulent flow, analyzed using a convolutional autoencoder echo state network (CAE-ESN) for spatiotemporal decomposition and prediction of... -
Turbulent Flow Dataset
The dataset for the experiments comes from two dimensional turbulent flow simulated using the Lattice Boltzmann Method. The dataset consists of 1500 images of velocity fields,... -
Minimal Flow Unit (MFU) dataset
The dataset is a 3D turbulent flow with extreme events, specifically the Minimal Flow Unit (MFU) with quasi-relaminarization events.
