• 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