Event-chain Monte Carlo algorithm for continuous spin systems and its application
Event-chain Monte Carlo algorithm for continuous spin systems and its application
复制标题
连续自旋系统的事件链蒙特卡罗算法及其应用
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
K. Hukushima
中科院分区：
文献类型：
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作者：
Yoshihiko Nishikawa;K. Hukushima
描述了硬球系统和一般势系统（包括相互作用粒子系统和连续自旋系统）的事件链蒙特卡罗（ECMC）算法。利用ECMC算法，对磁场作用下的三维手性旋磁模型进行了大规模平衡蒙特卡罗模拟。发现相变的临界行为随磁场的增大而变化。
The event-chain Monte Carlo (ECMC) algorithm is described for hard-sphere systems and general potential systems including interacting particle system and continuous spin systems. Using the ECMC algorithm, large-scale equilibrium Monte Carlo simulations are performed for a three-dimensional chiral helimagnetic model under a magnetic field. It is found that critical behavior of a phase transition changes with increasing the magnetic field.