What is FluidSim used for in Claude Code?

FluidSim is used to set up, run, and analyze computational fluid dynamics simulations directly through Claude, handling complex equations like Navier-Stokes and shallow water systems.

How do I visualize FluidSim results?

You can use built-in Python plotting functions for immediate analysis or export data to HDF5 format for advanced 3D visualization in tools like ParaView.

What mathematical methods does this skill use?

It primarily utilizes pseudospectral methods with Fast Fourier Transforms (FFT) to provide high-accuracy solutions for periodic-domain fluid problems.

Does FluidSim support parallel computing?

Yes, FluidSim supports high-performance computing (HPC) environments using MPI parallelization, allowing simulations to scale across multiple CPU cores.

FluidSim CFD Framework

Name: FluidSim CFD Framework
Author: Microck

byMicrock

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데이터 과학 및 ML

Simulates complex fluid dynamics using high-performance Python pseudospectral methods for Navier-Stokes and geophysical flow equations.

소개

FluidSim is a specialized Claude Code Skill designed for researchers and engineers performing computational fluid dynamics (CFD) simulations. It leverages an object-oriented Python framework to solve periodic-domain equations using pseudospectral methods, achieving performance comparable to C++ or Fortran through Pythran/Transonic compilation and MPI parallelization. Whether you are modeling 2D/3D turbulence, shallow water equations, or stratified flows, FluidSim provides a streamlined workflow encompassing parameter configuration, high-performance execution, and comprehensive HDF5-based post-processing and visualization.

주요 기능

Pseudospectral methods using Fast Fourier Transforms (FFT) for accuracy
HPC support with MPI parallelization for large-scale cluster deployments
Hierarchical parameter management with strict attribute checking to prevent errors
Integrated analysis tools for energy spectra, spatial means, and physical fields
81 GitHub stars
High-performance solvers for 2D/3D Navier-Stokes and shallow water equations

사용 사례

Conducting automated parametric studies for fluid properties like viscosity
Simulating geophysical flows like oceanic stratified flows and rotating systems
Modeling 2D and 3D atmospheric turbulence and vortex dynamics

소개

주요 기능

Pseudospectral methods using Fast Fourier Transforms (FFT) for accuracy
HPC support with MPI parallelization for large-scale cluster deployments
Hierarchical parameter management with strict attribute checking to prevent errors
Integrated analysis tools for energy spectra, spatial means, and physical fields
81 GitHub stars
High-performance solvers for 2D/3D Navier-Stokes and shallow water equations

사용 사례

Conducting automated parametric studies for fluid properties like viscosity
Simulating geophysical flows like oceanic stratified flows and rotating systems
Modeling 2D and 3D atmospheric turbulence and vortex dynamics