Magnetic dot arrays modeling via the system of the radial basis function networks
Disordered Systems and Neural Networks
2009-11-07 v1
Abstract
Two dimensional square lattice general model of the magnetic dot array is introduced. In this model the intradot self-energy is predicted via the neural network and interdot magnetostatic coupling is approximated by the collection of several dipolar terms. The model has been applied to disk-shaped cluster involving 193 ultrathin dots and 772 interaction centers. In this case among the intradot magnetic structures retrieved by neural networks the important role play single-vortex magnetization modes. Several aspects of the model have been understood numerically by means of the simulated annealing method.
Keywords
Cite
@article{arxiv.cond-mat/0204130,
title = {Magnetic dot arrays modeling via the system of the radial basis function networks},
author = {Denis Horvath and Martin Gmitra and Ivo Vavra},
journal= {arXiv preprint arXiv:cond-mat/0204130},
year = {2009}
}
Comments
16 pages, 8 figures