Forced MHD
Forced Magnetohydrodynamic Turbulence DNS
Description
These snapshots are derived from a Direct Numerical Simulation (DNS) of forced, statistically stationary incompressible magnetohydrodynamic (MHD) turbulence, which is publicly available through the Johns Hopkins Turbulence Database (JHTDB). The original simulation was performed on a triply periodic cubic domain of size $2\pi \times 2\pi \times 2\pi$, discretized on a grid of $1024 \times 1024 \times 1024$ nodes, with periodic boundary conditions applied in all three directions. The incompressible MHD equations — the Navier–Stokes equations coupled to the magnetic induction equation through the Lorentz force — are solved using a pseudo-spectral method. Both the velocity field and the magnetic field are forced at large scales to sustain a statistically stationary turbulent state, so that energy injected at large scales cascades to and is dissipated at the smallest resolved scales.
For this machine-learning-oriented release, we subsampled the original JHTDB forced MHD turbulence fields and re-saved them in a new, ML-friendly format. Each snapshot retains the complete three-dimensional flow state with all three velocity components (u, v, w), pressure and all three magnetic magnetic vector potential components (Ax, Ay, Az) . Two versions of the dataset are provided:
- Sequential version — 20 consecutive snapshots sampled at the stored time interval,
- Random version — 10 snapshots drawn at random (non-consecutive) times from the statistically stationary regime. This version is intended for tasks that benefit from diverse, decorrelated samples, such as single-frame reconstruction, statistical modeling, or generative learning.
Quick Info
- Contributors: Charles Meneveau
- Nɸ = 4 + 3
- Nx = 1024, Ny = 1024, Nz = 1024
- DOI
- .bib
- Download.sh
Links to different cases
| ID | Description | Size (GB) | Links |
|---|---|---|---|
| 0 | Sequential Snapshots | 561 |
|
| 1 | Collection of snapshots at different time | 281 |
|