15 datasets found

The dataset used in this paper is a high-resolution turbulent channel flow data from UT Texas and JHTD at Reynolds number of 1000.

The dataset used in this paper is a high-resolution isotropic turbulence data from UP Madrid turbulence database (UPMTD) at Reynolds number of 315.

The dataset used in this paper is a high-resolution incompressible isotropic turbulence data from John Hopkins University turbulence database (JHTD) at Reynolds number of 433.

A dataset of turbulent boundary layer flow measurements.

A dataset of turbulent channel flow simulations.

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 is used to train and evaluate the machine learning models for computational fluid dynamics.

Kolmogorov flow dataset, a chaotic regime with a combination of the translational symmetry in x, along with two discrete symmetry groups, namely a rotation through π and a...

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.

The dataset contains three challenging scenarios for flow prediction: incompressible and transonic flows, as well as isotropic turbulence.

The T106 turbine stator under periodic wake impact is a complex turbulent flow case.

The flow around a cylinder is a widely used test case for fluid dynamics, characterized by a Kármán vortex street.

The 2D Kolmogorov Flow dataset is a 2D turbulent flow simulation dataset.