arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1709.01682cond-mat.mes-hall
收藏

非零温度下随机Landau-Lifshitz-Gilbert方程的自适应时间推进:在MuMax3中的实现与验证

Adaptively time stepping the stochastic Landau-Lifshitz-Gilbert equation at nonzero temperature: implementation and validation in MuMax3

J. Leliaert, J. Mulkers, J. De Clercq, A. Coene, M. Dvornik, B. Van Waeyenberge

摘要:

热涨落在与各种生物医学和其他技术应用相关的微磁研究中发挥着越来越重要的作用。到目前为止,人们认为有必要使用具有固定时间步长的时间步进算法,以便在非零温度下执行微磁模拟。然而,Berkov和Gorn已经表明,通常在求解随机微分方程时出现的漂移项只能影响磁化强度的长度。然而,这个量在随机Landau-Lifshitz-Gilbert方程的情况下是固定的。在本文中,我们利用这一事实,直接扩展现有的高阶求解器的自适应时间步进算法。我们实现了所提出的方法在免费提供的GPU加速的微磁软件包MuMax 3,并使用它来广泛验证所提出的方法。接下来的优势,具有控制的误差容限,我们报告了20倍的加速而不损失的准确性,当使用所提出的方法相比,到目前为止的最佳实践使用Heun的求解器与一个小的固定的时间步长。

英文摘要:

Thermal fluctuations play an increasingly important role in micromagnetic research relevant for various biomedical and other technological applications. Until now, it was deemed necessary to use a time stepping algorithm with a fixed time step in order to perform micromagnetic simulations at nonzero temperatures. However, Berkov and Gorn have shown that the drift term which generally appears when solving stochastic differential equations can only influence the length of the magnetization. This quantity is however fixed in the case of the stochastic Landau-Lifshitz-Gilbert equation. In this paper, we exploit this fact to straightforwardly extend existing high order solvers with an adaptive time stepping algorithm. We implemented the presented methods in the freely available GPU-accelerated micromagnetic software package MuMax3 and used it to extensively validate the presented methods. Next to the advantage of having control over the error tolerance, we report a twenty fold speedup without a loss of accuracy, when using the presented methods as compared to the hereto best practice of using Heun's solver with a small fixed time step.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑