Fast Atomistic Spin Dynamics (FASD): A Scalable Approach for Time-Dependent Magnetic Phenomena in Nanostructures

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES
J. Murillo-Polo, J. Mazo-Zuluaga, E. A. Velásquez, J. Mejía-López
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引用次数: 0

Abstract

A methodology to perform Atomistic Spin Dynamics (ASD) calculations on magnetic nanometric structures in highly reduced times compared with standard approaches is proposed. To this aim, a scaling technique (ST) is implemented within the ASD framework by determining the appropriate time scaling factor, an approach referred to as Fast Atomistic Spin Dynamics (FASD). The quality of the FASD scheme is demonstrated by comparisons with micromagnetic simulations of well-known domain wall (DW) motion phenomena. After establishing its reliability, the FASD approach is applied to study DW motion in diameter-modulated ferromagnetic nanowires. The results offer two main advantages: (i) they enable the use of the FASD tool to perform simulation studies of time-dependent magnetic phenomena in systems consisting of many atoms in reduced times, and (ii) they reveal novel behaviors and phenomena related to DW movement in diameter-modulated samples of current technological interest.

Abstract Image

快速原子自旋动力学(FASD):纳米结构中随时间变化的磁现象的可扩展方法
提出了一种磁性纳米结构原子自旋动力学(ASD)计算方法,与标准方法相比,计算时间大大缩短。为此,通过确定适当的时间缩放因子,在ASD框架内实现缩放技术(ST),这种方法称为快速原子自旋动力学(FASD)。通过与众所周知的畴壁(DW)运动现象的微磁模拟比较,证明了FASD方案的质量。在建立了该方法的可靠性之后,将FASD方法应用于直径调制铁磁纳米线中DW运动的研究。结果提供了两个主要优势:(i)它们使使用FASD工具能够在缩短的时间内对由许多原子组成的系统中的时间相关磁现象进行模拟研究,(ii)它们揭示了当前技术感兴趣的直径调制样品中与DW运动相关的新行为和现象。
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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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