4 datasets found

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.

The dataset is a two-dimensional turbulent flow, analyzed using a convolutional autoencoder echo state network (CAE-ESN) for spatiotemporal decomposition and prediction of...

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,...

The dataset is a 3D turbulent flow with extreme events, specifically the Minimal Flow Unit (MFU) with quasi-relaminarization events.