In this paper we present a phenomenological approach computing the behavior of a cobalt particle by the Della Torre-Pinzaglia-Cardelli (DPC) model. The identification of the model is realized using a suitable numerical procedure and a set of data obtained using a micromagnetic numerical model based on Brown's equations. In order to simplify the identification, a class of hysterons, which describes the magnetization process of a single domain in agreement with the Stoner and Wohlfarth theory, is used. The accuracy of the reconstructed magnetization cycles using the DPC model and the save of the computation time with respect to the micromagnetic numerical model are shown

Magnetization dependent vector model and single domain nanostructures / Cardelli, E; Carpentieri, Mario; Della Torre, E; Drisaldi, G; Faba, A.. - In: JOURNAL OF APPLIED PHYSICS. - ISSN 0021-8979. - 105:7(2009). [10.1063/1.3068009]

Magnetization dependent vector model and single domain nanostructures

CARPENTIERI, Mario;
2009-01-01

Abstract

In this paper we present a phenomenological approach computing the behavior of a cobalt particle by the Della Torre-Pinzaglia-Cardelli (DPC) model. The identification of the model is realized using a suitable numerical procedure and a set of data obtained using a micromagnetic numerical model based on Brown's equations. In order to simplify the identification, a class of hysterons, which describes the magnetization process of a single domain in agreement with the Stoner and Wohlfarth theory, is used. The accuracy of the reconstructed magnetization cycles using the DPC model and the save of the computation time with respect to the micromagnetic numerical model are shown
2009
Magnetization dependent vector model and single domain nanostructures / Cardelli, E; Carpentieri, Mario; Della Torre, E; Drisaldi, G; Faba, A.. - In: JOURNAL OF APPLIED PHYSICS. - ISSN 0021-8979. - 105:7(2009). [10.1063/1.3068009]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/3853
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