Micromagnetic Simulation: Methods, Applications, and Recent Advances

Micromagnetics is the continuum theory of magnetization dynamics at sub-micrometer length scales and nanosecond time scales. It forms the computational backbone for modelling domain structures, magnetization switching, spin-transfer and spin-orbit torques, and emergent topological magnetic textures such as skyrmions. This paper presents a comprehensive treatment of the micromagnetic model, numerical techniques used in simulations, commonly used software, representative case studies (domain-wall dynamics, skyrmion motion, magnetization reversal), and recent advances including multiscale coupling and GPU acceleration. Important numerical considerations, benchmarking strategies, and open challenges are discussed. The provided LaTeX source is intended as a standalone, publication-ready draft and includes placeholders for figures and extended references.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-16
DOI
https://doi.org/10.5281/zenodo.17128895
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Micromagnetic Simulation: Methods, Applications, and Recent Advances

Zenodo (CERN European Organization for Nuclear Research)
Gene expression and cancer classification
article

Micromagnetic Simulation: Methods, Applications, and Recent Advances

article en

Abstract

Micromagnetics is the continuum theory of magnetization dynamics at sub-micrometer length scales and nanosecond time scales. It forms the computational backbone for modelling domain structures, magnetization switching, spin-transfer and spin-orbit torques, and emergent topological magnetic textures such as skyrmions. This paper presents a comprehensive treatment of the micromagnetic model, numerical techniques used in simulations, commonly used software, representative case studies (domain-wall dynamics, skyrmion motion, magnetization reversal), and recent advances including multiscale coupling and GPU acceleration. Important numerical considerations, benchmarking strategies, and open challenges are discussed. The provided LaTeX source is intended as a standalone, publication-ready draft and includes placeholders for figures and extended references.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 50%
Gene expression and cancer classification
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