Does FluidSim support parallel computing?

Yes, FluidSim is designed for high-performance computing and supports MPI for parallel execution across multiple processors.

What types of fluid equations can this skill handle?

It supports 2D and 3D Navier-Stokes equations, shallow water equations (sw1l), and stratified flows (ns2d.strat/ns3d.strat).

How do I visualize the simulation results?

FluidSim includes built-in methods for plotting physical fields like vorticity and velocity, as well as 1D/2D energy spectra. Data is saved in HDF5 format for external tools like ParaView.

Can I define custom initial conditions?

Yes, you can define custom initial conditions directly in your script by accessing the simulation's state variables and applying mathematical functions to the grid.

FluidSim CFD Framework

Name: FluidSim CFD Framework
Author: Activer007

byActiver007

数据科学与机器学习

Simulates complex fluid dynamics using high-performance Python pseudospectral solvers for Navier-Stokes and geophysical flows.

关于

FluidSim is a specialized Python framework for high-performance computational fluid dynamics (CFD) simulations, utilizing pseudospectral methods and FFT for maximum efficiency. It allows users to solve complex equations—including 2D/3D Navier-Stokes, shallow water, and stratified flows—with performance reaching the levels of Fortran or C++ thanks to MPI and Pythran support. This skill enables Claude to assist with the entire simulation lifecycle, from defining hierarchical parameters and configuring HPC clusters to performing advanced spectral analysis and visualizing vortex dynamics.

主要功能

High-performance pseudospectral solvers for Navier-Stokes and shallow water equations
Hierarchical parameter management for structured simulation configuration
Extensible framework for custom forcing, initial conditions, and new solvers
0 GitHub stars
Scalable parallel computing support via MPI and Pythran/Transonic compilation
Integrated tools for 1D/2D spectral analysis and physical field visualization

使用场景

Simulating 2D and 3D turbulence to study energy cascades and enstrophy
Modeling geophysical phenomena like oceanic stratified flows or atmospheric systems
Validating CFD theories using canonical setups like Taylor-Green vortices

关于

主要功能

High-performance pseudospectral solvers for Navier-Stokes and shallow water equations
Hierarchical parameter management for structured simulation configuration
Extensible framework for custom forcing, initial conditions, and new solvers
0 GitHub stars
Scalable parallel computing support via MPI and Pythran/Transonic compilation
Integrated tools for 1D/2D spectral analysis and physical field visualization

使用场景

Simulating 2D and 3D turbulence to study energy cascades and enstrophy
Modeling geophysical phenomena like oceanic stratified flows or atmospheric systems
Validating CFD theories using canonical setups like Taylor-Green vortices