Magnetic dot arrays modeling via the system of the radial basis function networks
arXiv:cond-mat/0204130 · doi:10.1016/S0304-8853(01)00164-0
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.
16 pages, 8 figures