Result: Monte Carlo simulation of magnetization switching in a Heisenberg model for small ferromagnetic particles

Title:
Monte Carlo simulation of magnetization switching in a Heisenberg model for small ferromagnetic particles
Authors:
Source:
Proceedings of the Europhysics Conference on Computational Physics CCP 1998 Modeling Collective Phenomena in Complex SystemsComputer physics communications. 121-22:334-337
Publisher Information:
Amsterdam: Elsevier Science, 1999.
Publication Year:
1999
Physical Description:
print, 15 ref
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Theoretische Tieftemperaturphysik, Gerhard-Mercator-Universität-Duisburg, 47048 Duisburg, Germany
ISSN:
0010-4655
Rights:
Copyright 2000 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Mathematics

Metrology

Theoretical physics
Accession Number:
edscal.1227075
Database:
PASCAL Archive

Further Information

Using Monte Carlo methods we investigate the thermally activated magnetization switching of small ferromagnetic particles driven by an external magnetic field. For low uniaxial anisotropy one expects that the spins rotate coherently while for sufficiently large anisotropy the reversal should be due to nucleation. The latter case has been investigated extensively by Monte Carlo simulation of corresponding Ising models. In order to study the crossover from coherent rotation to nucleation we use a specially adjusted update algorithm for the Monte Carlo simulation of a classical three-dimensional Heisenberg model with a finite uniaxial anisotropy. This special algorithm which uses a combined sampling can simulate different reversal mechanisms efficiently. It will be described in detail and its efficiency and physical validity will be discussed by a comparison with other common update-algorithms.