Multicanonical sampling of vortex states in magnetic nanoelements

D. Reitzner and D. Horváth

Physica A: Statistical Mechanics and its Applications, 2007, vol. 379, issue 2, 587-594

Abstract: An auto-adaptive multicanonical Monte Carlo (MMC) simulation method is suggested and tested on a single-vortex model of magnetic nanoelement. Simulation process consisting of nonequilibrium and equilibrium stages that circumvents ergodicity sampling problems which stem from a potential barrier standing between the vortex and counter-vortex states is proposed. The method is formulated by the means of an effective Hamiltonian with additional term proportional to the overlap of given configuration and bistable ground-state vortex configuration. The self-organized neural network is used to construct the synopsis of the vortex reversal process.

Keywords: Nanostructures; Magnetic vortex; Monte Carlo simulation; Neural-network classifier (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:379:y:2007:i:2:p:587-594

DOI: 10.1016/j.physa.2007.01.017

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