fluidsim

Configure and run pseudospectral CFD simulations with MPI parallelization in Python.

94|11|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/swaruplab/operon --skill fluidsim-swaruplab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fluidsim
Source: https://github.com/swaruplab/operon/tree/main/src-tauri/protocols/fluidsim
Command: npx skills add https://github.com/swaruplab/operon --skill fluidsim-swaruplab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

FluidSim provides a Python-based framework to configure, run, and analyze high-performance CFD simulations on periodic domains, combining accessibility with HPC-scale performance for turbulence, stratified, and geophysical flows.

Core Features & Use Cases

  • Pseudospectral solvers with FFT for 2D/3D Navier–Stokes, shallow water, and stratified flows
  • MPI parallelization and high-performance computing support for large-scale runs
  • Comprehensive workflow: parameter configuration, simulation execution, and rich post-processing
  • Use Case: researchers can rapidly prototype simulations, study energy cascades, or validate models against canonical flows

Quick Start

Install fluidsim, create default parameters, configure a solver, and run a simulation to observe results.

Frequently Asked Questions about fluidsim

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run CFD simulations in Python for turbulence research?

You can run CFD simulations in Python by configuring pseudospectral solvers for 2D or 3D Navier-Stokes equations. This framework provides FFT-based methods and MPI parallelization to study turbulence energy cascades and validate models against canonical flows.

What is the best way to simulate stratified and oceanic flows on periodic domains?

Simulating stratified and oceanic flows is achieved using specialized pseudospectral solvers like ns2d.strat and sw1l. These solvers handle shallow water equations and stratified flow dynamics on periodic domains with high-performance computing support.

Does this Python CFD solver support MPI parallelization for large-scale runs?

Yes, this CFD solver supports MPI parallelization for large-scale runs. It integrates high-performance computing capabilities to execute computationally intensive fluid dynamics simulations efficiently across distributed systems.

How do I configure parameters and post-process pseudospectral simulation results?

You configure parameters by setting up default configurations for your chosen solver, then execute the simulation. Integrated I/O and post-processing interfaces allow you to analyze the simulation results directly within the Python workflow.

Can I use FFT methods to study 3D Navier-Stokes energy cascades?

Yes, you can use FFT methods to study 3D Navier-Stokes energy cascades. The framework includes a 3D Navier-Stokes solver (ns3d) that applies pseudospectral methods with Fast Fourier Transforms for turbulence analysis.

Are there limitations to using pseudospectral methods for geophysical flow simulation?

Pseudospectral methods for geophysical flow simulation are limited to periodic domains. This means they are suitable for idealized turbulence and stratified flow research but not for complex geometries or non-periodic boundary conditions.