fluidsim

To run CFD simulations for 2D Navier-Stokes turbulence using Python, the Skill uses a pseudospectral FFT framework to configure grid parameters, launch time-stepping, and generate vorticity fields and energy spectra outputs.

Yes, you can use MPI parallelization for computational fluid dynamics simulations. The Skill supports scalable MPI execution to distribute pseudospectral FFT solvers across compute resources for high-resolution turbulence and stratified flow modeling.

A pseudospectral FFT solver computes fluid dynamics spatial derivatives in Fourier space for high accuracy. You need it for periodic-domain problems like 2D/3D Navier-Stokes, shallow water equations, and turbulence energy cascade studies.

To post-process CFD outputs and analyze turbulence energy cascades, the Skill generates physical fields, energy spectra, and spatial means from the simulation results, allowing you to compare outputs across multiple viscosity and grid-resolution runs.

Yes, this pseudospectral CFD approach works for stratified flow and geophysical modeling. The Skill supports periodic 2D/3D scenarios including shallow water dynamics and stratified flows suitable for vortex dynamics studies.

FFT-based solvers for computational fluid dynamics are limited to periodic boundary conditions in 2D/3D domains. They are ideal for idealized turbulence studies but not suited for complex non-periodic geometries or arbitrary boundary layer flows.