Fast Evaluation of Demagnetizing Field in Three Dimensional Micromagnetics Using Multipole Approximation

Abstract

Computational micromagnetics in three dimensions is of increasing interest with the development of magnetostrictive sensors and actuators. In solving the Landau-Lifshitz-Gilbert (LLG) equation, the governing equation of magnetic dynamics for ferromagnetic materials, we need to evaluate the effective field. The effective field consists of several terms, among which the demagnetizing eld is of long-range nature. Evaluating the demagnetizing eld directly requires work of O(N2) for a grid of N cells and thus it is the bottleneck in computational micromagnetics. A fast hierarchical algorithm using multipole approximation is developed to evaluate the demagnetizing eld. We first construct a mesh hierarchy and divide the grid into boxes of different levels. The lowest level box is the whole grid while the highest level boxes are just cells. The approximate field contribution from the cells contained in a box is characterized by the box attributes, which are obtained via multipole approximation. The algorithm computes field contributions from remote cells using attributes of appropriate boxes containing those cells, and it computes contributions from adjacent cells directly. Numerical results have shown that the algorithm requires work of O(NlogN) and at the same time it achieves high accuracy. It makes micromagnetic simulation in three dimensions feasible.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA440811

Entities

People

  • John Baras
  • P.S.Krishnaprasad
  • Xiaobo Tan

Organizations

  • University of Maryland

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Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Cell Size
  • Computations
  • Dipoles
  • Electronic Mail
  • Engineering
  • Equations
  • Errors
  • Fast Fourier Transforms
  • Ferromagnetic Materials
  • Geometry
  • Integrals
  • Magnetization
  • Military Research
  • Test And Evaluation
  • Three Dimensional
  • Universities

Fields of Study

  • Physics

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  • Computational Modeling and Simulation
  • Graph Algorithms and Convex Optimization.
  • Materials Science and Engineering.