Abstract
Two-dimensional square lattice model of the magnetic dot array is presented. The intradot self-energy is predicted using the neural network approachand interdot magnetostatic coupling is approximated by the several dipolar terms. The model is applied to disk-shaped cluster involving 193 ultrathin square dots with 772 interaction centers. Among the intradot magnetic structures retrieved by neural networks the important role play single-vortex intradot magnetostatic modes. Several aspects of the model have been understood by the numerical study using the simulated annealing method.
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