Effect of the Number of Grains on the Magnetizationof Multi-Core Particles

The authors study the dependence of the static magnetic response of multi-core particles on the number of grains. The magnetization of multi-core particles consisting of grains in the nodes of a cubic lattice is determined via Monte Carlo computer modeling and theoretical calculations. It is established that the magnetization of multi-core particles is sensitive to the number of grains and does not exceed the value predicted within the single-particle Langevin model. The best agreement between the results from theoretical calculations and computer modeling is obtained for multi-core particles consisting of more than 100 grains.

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Publication Details

Journal
Bulletin of the Russian Academy of Sciences Physics
Published
2024-10-01
DOI
https://doi.org/10.1134/s1062873824707979
Citations
3
Primary Topic
Characterization and Applications of Magnetic Nanoparticles
Type
article
Field-Weighted Citation Impact
0.55
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article

Effect of the Number of Grains on the Magnetizationof Multi-Core Particles

Anna Yu. Solovyova, Alexey O. Ivanov, Ekaterina A. Elfimova, Sergey A. Sokolsky
3 citations
Bulletin of the Russian Academy of Sciences Physics
Characterization and Applications of Magnetic Nanoparticles
0.55
article

Effect of the Number of Grains on the Magnetizationof Multi-Core Particles

Anna Yu. Solovyova, Alexey O. Ivanov, Ekaterina A. Elfimova, Sergey A. Sokolsky
article en
3 citations

Abstract

The authors study the dependence of the static magnetic response of multi-core particles on the number of grains. The magnetization of multi-core particles consisting of grains in the nodes of a cubic lattice is determined via Monte Carlo computer modeling and theoretical calculations. It is established that the magnetization of multi-core particles is sensitive to the number of grains and does not exceed the value predicted within the single-particle Langevin model. The best agreement between the results from theoretical calculations and computer modeling is obtained for multi-core particles consisting of more than 100 grains.

Bulletin of the Russian Academy of Sciences PhysicsVol. 88(10)
Ural Federal University (RU)
Openalex Percentile: Top 36%
Characterization and Applications of Magnetic Nanoparticles
0.55
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Effect of the Number of Grains on the Magnetizationof Multi-Core Particles — Anna Yu. Solovyova, Alexey O. Ivanov, et al. · Bulletin of the Russian Academy of Sciences Physics (2024) | TGRS Research Map | TGRS