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Nonlinear conjugate gradient methods in micromagnetics

Authors: J. Fischbacher; Alexander Kovacs; Harald Oezelt; T. Schrefl; L. Exl; J. Fidler; D. Suess; +5 Authors
APC: 1,448.36 EUR

Nonlinear conjugate gradient methods in micromagnetics

Abstract

Conjugate gradient methods for energy minimization in micromagnetics are compared. The comparison of analytic results with numerical simulation shows that standard conjugate gradient method may fail to produce correct results. A method that restricts the step length in the line search is introduced, in order to avoid this problem. When the step length in the line search is controlled, conjugate gradient techniques are a fast and reliable way to compute the hysteresis properties of permanent magnets. The method is applied to investigate demagnetizing effects in NdFe12 based permanent magnets. The reduction of the coercive field by demagnetizing effects is μ0ΔH = 1.4 T at 450 K.

Country
Austria
Keywords

Finite element methods, 101014 Numerical mathematics, Coercive force, Permanent magnets, Iteration theory, Physics, QC1-999, Demagnetization, 103018 Materialphysik, 101014 Numerische Mathematik, 103017 Magnetismus, cond-mat.mtrl-sci, Magnets, External field, Gibbs free energy, Magnetostatics, Magnetic anisotropy, 103018 Materials physics, 103017 Magnetism

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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!
46
Top 10%
Top 10%
Top 10%
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gold