What physical equations can FluidSim solve?

FluidSim supports several solvers including 2D/3D Navier-Stokes, shallow water equations, and stratified flows using pseudospectral methods.

How do I visualize the fluid simulation results?

You can use the built-in Python-based plotting tools for real-time visualization of fields and spectra, or export HDF5 data for advanced analysis in ParaView.

Can I define custom initial conditions for my experiments?

Absolutely. FluidSim allows you to define initial fields directly in your script, use random noise, or load specific states from previous simulation files.

Does this skill support parallel computing for large simulations?

Yes, FluidSim is optimized for high-performance computing and supports MPI parallelization to handle high-resolution simulations across multiple processors.

How does FluidSim maintain performance if it is written in Python?

FluidSim achieves performance comparable to C++ and Fortran by utilizing Pythran or Transonic for compilation and leveraging optimized FFT libraries.

FluidSim CFD Framework

Name: FluidSim CFD Framework
Author: Microck

byMicrock

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데이터 과학 및 ML

Simulates high-performance fluid dynamics using pseudospectral methods and Python-based HPC workflows.

소개

FluidSim is a specialized Claude Code skill designed to facilitate the configuration, execution, and analysis of complex computational fluid dynamics (CFD) simulations within a Python environment. By leveraging pseudospectral methods and FFT-based solvers, it enables researchers and engineers to model 2D/3D Navier-Stokes equations, shallow water systems, and stratified flows with performance comparable to compiled languages like C++. This skill provides Claude with the domain-specific knowledge required to manage the entire simulation lifecycle—from initial parameter setup and MPI-parallelized execution to interactive post-processing and visualization of physical fields.

주요 기능

81 GitHub stars
Pseudospectral solvers for 2D/3D Navier-Stokes and geophysical flows
Integrated output analysis for HDF5 fields, energy spectra, and spatial means
High-performance computing support with MPI and Pythran/Transonic compilation
Support for custom forcing, initial conditions, and parametric studies
Hierarchical parameter management with built-in validation

사용 사례

Modeling 2D and 3D turbulence to study energy cascades and vortex dynamics
Simulating geophysical phenomena like oceanic stratified flows or shallow water systems
Conducting large-scale parametric studies across high-performance computing clusters

소개

주요 기능

81 GitHub stars
Pseudospectral solvers for 2D/3D Navier-Stokes and geophysical flows
Integrated output analysis for HDF5 fields, energy spectra, and spatial means
High-performance computing support with MPI and Pythran/Transonic compilation
Support for custom forcing, initial conditions, and parametric studies
Hierarchical parameter management with built-in validation

사용 사례

Modeling 2D and 3D turbulence to study energy cascades and vortex dynamics
Simulating geophysical phenomena like oceanic stratified flows or shallow water systems
Conducting large-scale parametric studies across high-performance computing clusters