Exploiting symmetries in skyrmionic micromagnetic simulations

Micromagnetic simulations are an essential tool in the theoretical study of magnetic skyrmions. When confined into nanometric samples, these structures can serve as bits of information among other possible applications. Accurate simulations are one of the major sources of theoretical results. In the...

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Detalles Bibliográficos
Autores: Castell-Queralt, Josep|||0000-0002-9712-969X, González-Gómez, Leonardo|||0000-0002-4214-4374, Del-Valle, Nuria|||0000-0003-2608-5009, Navau, Carles|||0000-0003-4763-5305
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:250993
Acceso en línea:https://ddd.uab.cat/record/250993
https://dx.doi.org/urn:doi:10.1016/j.jmmm.2021.168972
Access Level:acceso abierto
Palabra clave:Micromagnetism
Skyrmions
Simulation
Descripción
Sumario:Micromagnetic simulations are an essential tool in the theoretical study of magnetic skyrmions. When confined into nanometric samples, these structures can serve as bits of information among other possible applications. Accurate simulations are one of the major sources of theoretical results. In the case of confined skyrmions, it is known that the boundaries play a critical role in their stabilization. However, most of the micromagnetic simulations are done using a finite-difference method with quadrilateral meshes, that do not exactly fit the boundaries. The use of this mesh can introduce a significant numerical error that can completely change the results of the simulations. We present here two different finite-difference meshes to study skyrmions in confined disks, taking advantage of the symmetry of that geometry. A two-dimensional cylindrical mesh for non-symmetric scenarios but geometrically symmetric (boundary conditions) that reduces the propagation of the numerical error, and the particular case of a one dimensional mesh for axisymmetric scenarios where the computation time is hugely reduced.