Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

This archive contains spatio-temporal data from simulations of the Navier-Stokes equations: First, simulations of an incompressible wake flow at different Reynolds numbers simulated with PhiFlow. Second, a transonic cylinder flow simulated with SU2 at different Mach numbers. Finally, a curation of data from the Johns Hopkins Turbulence Database (JHTDB) is included, that features an isotropic turbulence flow simulated with a direct numerical simulation.
The isotropic turbulence data is made available under the Open Data Commons Attribution License (ODC-By) ( http://opendatacommons.org/licenses/by/). This means the data is open to use, but requires attribution to the original creators from the JHTDB (see https://turbulence.pha.jhu.edu/citing.aspx ).
Furthermore, pretrained neural network model weights for flow prediction on each data set are provided, that can be used as described in more detail in our source code.