Two minimal-variable symplectic integrators for stochastic spin systems

This repository contains all the necessary files to run the simulations presented in the study on two minimal-variable symplectic integrators for stochastic spin systems (click here for the journal article in Physical Review E). - The file run_r3_spinsystem.py contains certain pre-specified test cases. Generated data are automatically stored in pre-named directories. - Generating the data for the convergence test is done by running run_convergence_test.py. - All visualization occurs in visualize_results.py.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-21
DOI
https://doi.org/10.5281/zenodo.14505559
Citations
1
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
0.73
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article

Two minimal-variable symplectic integrators for stochastic spin systems

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Numerical methods for differential equations
0.73
article

Two minimal-variable symplectic integrators for stochastic spin systems

article en
1 citations

Abstract

This repository contains all the necessary files to run the simulations presented in the study on two minimal-variable symplectic integrators for stochastic spin systems (click here for the journal article in Physical Review E). - The file run_r3_spinsystem.py contains certain pre-specified test cases. Generated data are automatically stored in pre-named directories. - Generating the data for the convergence test is done by running run_convergence_test.py. - All visualization occurs in visualize_results.py.

Zenodo (CERN European Organization for Nuclear Research)
Chalmers University of Technology (SE), University of Gothenburg (SE)
Openalex Percentile: Top 25%
Numerical methods for differential equations
0.73
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