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通过计算机模拟研究非磁性衬底上铁磁纳米薄膜中的相变

Investigation of Phase Transitions in Ferromagnetic Nanofilms on a Non-Magnetic Substrate by Computer Simulation.

作者信息

Belim Sergey V

机构信息

Physics Department, Omsk State Technical University, Omsk 644050, Russia.

出版信息

Materials (Basel). 2022 Mar 24;15(7):2390. doi: 10.3390/ma15072390.

DOI:10.3390/ma15072390
PMID:35407723
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8999669/
Abstract

Magnetic properties of ferromagnetic nanofilms on non-magnetic substrate are examined by computer simulation. The substrate influence is modeled using the two-dimensional Frenkel-Kontorova potential. The film has a cubic crystal lattice. Cases of different ratio for substrate period and ferromagnetic film period are considered. The difference in film and substrate periods results in film deformations. These deformations result in a change in the magnetic properties of the film. The Ising model and the Metropolis algorithm are used for the study of magnetic properties. The dependence of Curie temperature on film thickness and substrate potential parameters is calculated. Cases of different values for the coverage factor are considered. The deformation of the film layers is reduced away from the substrate when it is compressed or stretched. The Curie temperature increases when the substrate is compressed and decreases when the substrate is stretched. This pattern is performed for films with different thicknesses. If the coating coefficient for the film is different from one, periodic structures with an increased or reduced concentration of atoms are formed in the film first layer. These structures are absent in higher layers.

摘要

通过计算机模拟研究了非磁性衬底上铁磁纳米薄膜的磁性。利用二维弗伦克尔 - 康托洛娃势对衬底影响进行建模。薄膜具有立方晶格。考虑了衬底周期与铁磁薄膜周期不同比例的情况。薄膜和衬底周期的差异导致薄膜变形。这些变形导致薄膜磁性发生变化。使用伊辛模型和 metropolis 算法研究磁性。计算了居里温度对薄膜厚度和衬底势参数的依赖性。考虑了覆盖因子不同值的情况。当薄膜被压缩或拉伸时,远离衬底的薄膜层变形减小。当衬底被压缩时居里温度升高,当衬底被拉伸时居里温度降低。这种模式适用于不同厚度的薄膜。如果薄膜的包覆系数不同于 1,则在薄膜第一层中会形成原子浓度增加或减少的周期性结构。在更高层中不存在这些结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1122/8999669/5d306040e2da/materials-15-02390-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1122/8999669/2f97f91ffa6d/materials-15-02390-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1122/8999669/c168b9364235/materials-15-02390-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1122/8999669/d3dc861c53f1/materials-15-02390-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1122/8999669/7061e20a43f9/materials-15-02390-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1122/8999669/5d306040e2da/materials-15-02390-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1122/8999669/2f97f91ffa6d/materials-15-02390-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1122/8999669/c168b9364235/materials-15-02390-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1122/8999669/d3dc861c53f1/materials-15-02390-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1122/8999669/7061e20a43f9/materials-15-02390-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1122/8999669/5d306040e2da/materials-15-02390-g005.jpg

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Sci Rep. 2021 Nov 2;11(1):21428. doi: 10.1038/s41598-021-00849-8.
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