DocumentCode
818918
Title
Fast adaptive algorithms for micromagnetics
Author
Yuan, Samuel W. ; Bertram, H. Neal
Author_Institution
Center for Magnetic Recording Res., California Univ., San Diego, La Jolla, CA, USA
Volume
28
Issue
5
fYear
1992
fDate
9/1/1992 12:00:00 AM
Firstpage
2031
Lastpage
2036
Abstract
Evaluation of the long-range magnetostatic field is the most time-consuming part in a micromagnetic simulation. In a magnetic system with N particles, the traditional direct pairwise summation method yields O (N 2) asymptotic computation time. An adaptive fast algorithm fully implementing the multipole and local expansions of the field integral is shown to yield O (N ) computation time. Fast Fourier transform techniques are generalized to entail finite size magnetic systems with nonperiodic boundary conditions, yielding O (N log2 N ) computation time. Examples are given for calculating domain wall structures in Permalloy thin films. The efficiency of the fast Fourier transform makes it almost always the faster method for any large-size system, while the multipole algorithm remains effective for more complex geometries and systems with highly irregular or nonuniform particle distributions
Keywords
electrical engineering computing; fast Fourier transforms; ferromagnetism; magnetic domain walls; magnetic fields; magnetic properties of fine particles; magnetic thin films; Permalloy thin films; adaptive algorithms; adaptive fast algorithm; domain wall structures; fast Fourier transform; field integral; large-size system; local expansions; long-range magnetostatic field; magnetic system; micromagnetic simulation; multipole algorithm; nonperiodic boundary conditions; nonuniform particle distributions; Adaptive algorithm; Boundary conditions; Computational modeling; Fast Fourier transforms; Geometry; Magnetic domain walls; Magnetic domains; Magnetostatics; Micromagnetics; Transistors;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.179394
Filename
179394
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