Demagnetization field simulation in hexagonal magnetic materials via Fast Fourier Transform

IF 3.1 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Computational Materials Science Pub Date : 2024-11-08 DOI:10.1016/j.commatsci.2024.113497
Teng Yang , Qing Tang , Tao Lin , Jian Han , Ben Xu
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Abstract

Two-dimensional van der Waals (vdW) magnetic materials with hexagonal structures exhibit exceptional potential for spintronics applications due to their unique magnetic properties. However, the accurate atomistic simulation of the demagnetization field in large hexagonal systems remains a challenge, as traditional Fast Fourier Transform (FFT) methods are limited to orthogonal lattices. In this study, we present a novel preprocessing method for hexagonal lattices to allow efficient computation of long-range demagnetization field by FFT acceleration. Through Atomistic Spin Dynamics simulations on layered CrI3, we reveal the significant impact of the demagnetization field on non-collinear spin textures, including the formation of Néel domain walls and the stability of spin vortices. This work provides new insights into the complex magnetic dynamics of 2D vdW materials at the atomistic scale.
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通过快速傅立叶变换模拟六边形磁性材料中的退磁场
具有六边形结构的二维范德瓦耳斯(vdW)磁性材料因其独特的磁性能而在自旋电子学应用中展现出非凡的潜力。然而,由于传统的快速傅立叶变换 (FFT) 方法仅限于正交晶格,因此在大型六边形系统中对去磁场进行精确的原子模拟仍然是一项挑战。在本研究中,我们提出了一种新颖的六边形晶格预处理方法,通过 FFT 加速来高效计算长程去磁场。通过对层状 CrI3 进行原子自旋动力学模拟,我们揭示了去磁场对非共线自旋纹理的重大影响,包括奈尔畴墙的形成和自旋漩涡的稳定性。这项工作为原子尺度上二维 vdW 材料的复杂磁动力学提供了新的见解。
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来源期刊
Computational Materials Science
Computational Materials Science 工程技术-材料科学:综合
CiteScore
6.50
自引率
6.10%
发文量
665
审稿时长
26 days
期刊介绍: The goal of Computational Materials Science is to report on results that provide new or unique insights into, or significantly expand our understanding of, the properties of materials or phenomena associated with their design, synthesis, processing, characterization, and utilization. To be relevant to the journal, the results should be applied or applicable to specific material systems that are discussed within the submission.
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