LLG3D

LLG3D is a solver for the stochastic Landau-Lifshitz-Gilbert equation in 3D. It is written in Python and may run in parallel using MPI, OpenCL or JAX. Details about the model, the numerical method and the physical results can be found in Courtès et al. [1].

Usage

Utilisation

• Install
  • Install Numpy (sequential) solver
  • Install MPI solver
  • Install OpenCL solver
  • Install JAX version
  • Install LLG3D in editable mode
• Execute
  • Command Line Help
  • Examples
  • Execute from a python script
  • Parallel execution with SLURM on a computing cluster
• Develop
  • Install the development dependencies
  • Run Unit Tests
  • Building documentation
  • Profiling

Notebooks

Notebooks

• Scaling measurement
• Benchmark of the Laplacian

References

llg3d.main	Define a CLI for the llg3d package.
llg3d.simulation	Define the Simulation class.
llg3d.parameters	Parameters for the LLG3D simulation.
llg3d.grid	Module to define the grid for the simulation.
llg3d.element	Module containing the definition of the chemical elements.
llg3d.solver	Solver module for LLG3D.
llg3d.output	Utility functions for LLG3D.
llg3d.post	Post-processing tools for LLG3D.

Bibliography

[1]

Clémentine Courtès, Matthieu Boileau, Raphaël Côte, Paul Antoine Hervieux, and Giovanni Manfredi. Micromagnetic simulations of the size dependence of the Curie temperature in ferromagnetic nanowires and nanolayers. Journal of Magnetism and Magnetic Materials, 598:172040, May 2024. URL: https://hal.science/hal-04364178, doi:10.1016/j.jmmm.2024.172040.