Neural network analysis of the magnetization reversal in magnetic dot arrays
| dc.creator | Gmitra, Martin | |
| dc.creator | Horvath, Denis | |
| dc.date | 2002-09-07 | |
| dc.date.accessioned | 2026-07-07T02:47:11Z | |
| dc.date.available | 2026-07-07T02:47:11Z | |
| dc.description | 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. | |
| dc.description | 5 pages, 6 figures. Accepted for publication: "Acta Electrotechnica et Informatica" (http://www.aei.tuke.sk/) | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0209186 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0209186 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/19914 | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.subject | Statistical Mechanics | |
| dc.title | Neural network analysis of the magnetization reversal in magnetic dot arrays | |
| dc.type | text |