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(N2) 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
Link To Document :
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