Distribution of switching fields in magnetic granular materials
Distribution of switching fields in magnetic granular materials
We present analytical calculations and kinetic Monte-Carlo modeling of rate-dependent behavior of switching field distributions (SFDs) in an ensemble of Stoner-Wohfarth particles, assuming distributions of anisotropies and volumes, and thermal activation included by the Néel-Brown theory. By applying probabilistic arguments, we show that the SFD can be self-consistently separated into the contribution from distributions of intrinsic properties of particles and the (irreducible) contribution resulting solely from thermal fluctuations, which is shown to become a significant effect at sweep rates relevant to the recording process. This provides a unifying framework for systematic analysis of different classes of systems
182405-182410
Hovorka, O.
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Pressesky, J.
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Ju, G.
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Berger, A.
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Chantrell, R.W.
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November 2012
Hovorka, O.
a12bd550-ad45-4963-aa26-dd81dd1609ee
Pressesky, J.
5abf78e8-eef8-4ea5-94a9-35d152d32518
Ju, G.
8fc26845-8303-4d7d-aac6-59833d98474a
Berger, A.
4c40c340-bd0b-4ec6-af1e-fd8326110cca
Chantrell, R.W.
2df0bd37-172a-4d0b-892a-2c78b6dc3fc3
Hovorka, O., Pressesky, J., Ju, G., Berger, A. and Chantrell, R.W.
(2012)
Distribution of switching fields in magnetic granular materials.
Applied Physics Letters, 101 (18), .
(doi:10.1063/1.4765085).
Abstract
We present analytical calculations and kinetic Monte-Carlo modeling of rate-dependent behavior of switching field distributions (SFDs) in an ensemble of Stoner-Wohfarth particles, assuming distributions of anisotropies and volumes, and thermal activation included by the Néel-Brown theory. By applying probabilistic arguments, we show that the SFD can be self-consistently separated into the contribution from distributions of intrinsic properties of particles and the (irreducible) contribution resulting solely from thermal fluctuations, which is shown to become a significant effect at sweep rates relevant to the recording process. This provides a unifying framework for systematic analysis of different classes of systems
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Published date: November 2012
Organisations:
Computational Engineering & Design Group
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Local EPrints ID: 351907
URI: http://eprints.soton.ac.uk/id/eprint/351907
ISSN: 0003-6951
PURE UUID: 736979e7-0c91-45c9-810e-9ddad653bb32
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Date deposited: 29 Apr 2013 10:40
Last modified: 15 Mar 2024 03:47
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Author:
J. Pressesky
Author:
G. Ju
Author:
A. Berger
Author:
R.W. Chantrell
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