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Journal of Computational Physics
Article . 2001 . Peer-reviewed
License: Elsevier TDM
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zbMATH Open
Article . 2001
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A Gauss–Seidel Projection Method for Micromagnetics Simulations

A Gauss-Seidel projection method for micromagnetics simulations
Authors: Wang, Xiao Ping; Garcia-Cervera, Carlos; Weinan, E.W.;

A Gauss–Seidel Projection Method for Micromagnetics Simulations

Abstract

The dynamics of the magnetization distribution in a ferromagnetic thin film problem is studied in this paper. The relaxation process of the magnetization distribution in a ferromagnetic material is described by the Landau-Lifshitz equation for the saturation magnetization \(M = M(t)\). On of the main difficulties in micromagnetic simulation is a severe time step constraint introduced by the exchange field. Using standard explicit integrators leads to a physical time step of sub-pico second, which is often two orders of magnitude smaller than the fastest physical time scales. Direct implicit integrators require solving complicated, coupled systems. In this paper the authors introduce an implicit method the complexity of which is comparable to solving the scalar heat equation implicitly. This method is based on a combination of a Gauss-Seidel implementation of a fractional step implicit solver for the gyromagnetic term, and the projection method for the heat flow of harmonic maps. This method allows to carry out fully resolved calculations for the switching of the magnetization in micron-sized elements.

Country
China (People's Republic of)
Keywords

Implicit methods, 000, Statistical mechanics of magnetic materials, Landau-Lifshitz equation, Projection method, dynamics of the magnetization distribution, ferromagnetic thin film, Micromagnetics, Electro- and magnetostatics, micromagnetic simulation, Computational methods (statistical mechanics)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
145
Top 1%
Top 1%
Top 10%
bronze