LLG3D

LLG3D is a solver for the stochastic Landau-Lifshitz-Gilbert equation in 3D. It is written in Python and utilizes the MPI library to parallelize computations. Details about the model, the numerical method and the physical results can be found in Courtès et al. [1].

Usage

Utilisation

• Installing llg3d
  • Install MPI
  • Install llg3d package
  • Install llg3d in editable mode
• Execute
  • Command Line Help
  • Example
  • Parallel execution with SLURM on a computing cluster
• Developer’s Corner
  • Running the Unoptimized Version
  • Running the Purely Sequential Version
  • Profiling
  • Unit Tests
  • Building Documentation

Notebooks

Notebooks

• Scaling measurement
• Heat equation in 1D
• Benchmark of the Laplacian

References

llg3d.llg3d	Solver for the stochastic Landau-Lifshitz-Gilbert equation in 3D
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.