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Magnetic dot arrays modeling via the system of the radial basis function networks

Denis Horvath·Martin Gmitra·Ivo Vavra
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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.

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Denis Horvath, Martin Gmitra, Ivo Vavra. 2002-04-05. Magnetic dot arrays modeling via the system of the radial basis function networks. https://doi.org/10.1016/s0304-8853(01)00164-0

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