Multicanonical sampling of vortex states in magnetic nanoelements

作者：Reitzner D; Horvath D^*

来源：Physica A: Statistical Mechanics and Its Applications , 2007, 379(2): 587-594.

DOI：10.1016/j.physa.2007.01.017

• nanostructures
• magnetic vortex
• Monte Carlo simulation
• neural-network classifier

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.

• 出版日期2007-6-15