Cluster algorithm for Monte Carlo simulations of spin ice
Cluster algorithm for Monte Carlo simulations of spin ice
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DOI：
10.1103/physrevb.90.220406
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发表时间：
2014-11
影响因子：
3.7
通讯作者：
H. Otsuka
中科院分区：
文献类型：
--
作者：
H. Otsuka
提出了一种基于团簇表示的最近邻自旋冰模型的蒙特卡罗模拟算法。为了评估其性能，我们估计的弛豫时间，并发现，相反的大都会算法，我们的算法不发展自旋冻结。此外，为了证明效率，我们计算的自旋和电荷结构的因素，并观察夹点在高分辨率的彩色地图。然后，我们发现，德拜屏蔽工程之间的缺陷，并带来了短程相关性，并解除禁闭过渡触发的逸度缺陷$z$是由一个奇异的自由能密度$f_{\rm s}\propto z$的一部分。
We present an algorithm for Monte Carlo simulations of a nearest-neighbor spin ice model based on its cluster representation. To assess its performance, we estimate a relaxation time, and find that, in contrast to the Metropolis algorithm, our algorithm does not develop spin-freezing. Also, to demonstrate the efficiency, we calculate the spin and charge structure factors, and observe pinch points in a high-resolution color map. We then find that Debye screening works among defects and brings about short-range correlations, and that the deconfinement transition triggered by a fugacity of defects $z$ is dictated by a singular part of the free-energy density $f_{\rm s}\propto z$.