6 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...

Flow image super-resolution dataset acquired from direct numerical simulation (DNS) data with the commonly used Navier-Stokes (NS) equations.

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,...

PARTICLES: 3D Particles in a Turbulent Flow dataset.

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