Neural network analysis of the magnetization reversal in magnetic dot arrays

Details Neural network analysis of the magnetization reversal in magnetic dot arrays Neural network analysis of the magnetization reversal in magnetic dot arrays

2002-09-07

arxiv.org/abs/cond-mat/0209186v1

Physics

Condensed Matter

Disordered Systems and Neural Networks

5 pages, 6 figures. Accepted for publication: "Acta Electrotechnica et Informatica" (http://www.aei.tuke.sk/)

Scientific paper

We simulated the remagnetization dynamics of the ultra-dense and ultra-thin magnetic dot array system with dipole-dipole and exchange coupling interactions. Within the proposed 2D XY superlattice model, the square dots are modeled by the spatially modulated exchange-couplings. The dipole-dipole interactions were approximated by the hierarchical sums and dynamics was reduced to damping term of the Landau-Lifshitz-Gilbert equation. The simulation of 40 000 spin system leads to nonequilibrium nonuniform configurations with soliton-antisoliton pairs detected at intra-dot and inter-dot scales. The classification of intra-dot magnetic configurations was performed using the self-adaptive neural networks with varying number of neurons.

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