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APS -APS March Meeting 2017 - Event - Discrete Spin Vector Approach for Monte Carlo-based Magnetic Nanoparticle Simulations.

机译:APS -APS 2017年3月会议-事件-用于基于蒙特卡洛的磁性纳米粒子模拟的离散自旋矢量方法。

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The study of magnetic nanoparticles has gained significant popularity due to the potential uses in many fields such as modern medicine, electronics, and engineering. To study the magnetic behavior of these particles in depth, it is important to be able to model and simulate their magnetic properties efficiently. Here we utilize the Metropolis-Hastings algorithm with a discrete spin vector model (in contrast to the standard continuous model) to model the magnetic hysteresis of a set of protected pure iron nanoparticles. We compare our simulations with the experimental hysteresis curves and discuss the efficiency of our algorithm.
机译:磁性纳米颗粒的研究由于在现代医学,电子学和工程学等许多领域具有潜在用途而获得了广泛的应用。要深入研究这些粒子的磁行为,重要的是能够有效地建模和模拟其磁性能。在这里,我们利用Metropolis-Hastings算法和离散自旋矢量模型(与标准连续模型相反)来对一组受保护的纯铁纳米粒子的磁滞进行建模。我们将仿真结果与实验磁滞曲线进行比较,并讨论了算法的效率。

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