Magnetization features of small multi-core particles: theory and computer simulations

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We investigated the orientation texturing of magnetic moments of four magnetic nanoparticles fixed at the vertices of a regular tetrahedron and formed a separate polyhedral particle. Numerical calculations of the probability density of the magnetic moment orientation, the static magnetization and the initial magnetic susceptibility of a multi-core particle are obtained by the Monte-Carlo method.

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作者简介

E. Grokhotova

Ural Federal University

编辑信件的主要联系方式.
Email: lena.groxotova@mail.ru
俄罗斯联邦, Ekaterinburg

A. Solovyova

Ural Federal University

Email: lena.groxotova@mail.ru
俄罗斯联邦, Ekaterinburg

E. Elfimova

Ural Federal University

Email: lena.groxotova@mail.ru
俄罗斯联邦, Ekaterinburg

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2. Fig. 1. Structure of the model MGP. Granules with diameter d are located at the vertices of a tetrahedron with edge A.

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3. Fig. 2. Dependence of the single-particle probability density W on the angle ωk for a model MGP with edge A = 1 and λe = 1: (a), α = 0; (b), α = 1; (c), α = 0; (d), α = 1; (d), α = 0; (e), α = 1. The symbols denote the results of Monte Carlo simulation. The symbol number corresponds to the granule number in the model MGP.

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4. Fig. 3. Dependence of the single-particle probability density W on the angle ωk for a model MGP with edge A = 1 and λe = 3: (a), α = 0; (b), α = 1; (c), α = 0; (d), α = 1; (d), α = 0; (e), α = 1. The symbols denote the results of Monte Carlo simulation. The symbol number corresponds to the granule number in the model MGP.

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5. Fig. 4. Dependence of magnetization M on the Langevin parameter α for a model MGP with edge A = 1: (a) , ; (b) , ; (c) , . The symbols denote the results of Monte Carlo simulations for different values ​​of the parameter λe, as indicated in the legend. The dotted line corresponds to the Langevin magnetization L(α).

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