Gaussian fluctuation-driven ordered structures of binary mixtures with particles

被引：0
|
作者：
Feng, Wenqiang [1 ,2 ]
Zhu, Yuejin [2 ]
机构：
[1] Science Department, Liaoning University of Science and Technology, Anshan 114044, China
[2] Physics Department, Ningbo University, Ningbo 315211, China
来源：
Jisuan Wuli/Chinese Journal of Computational Physics | 2009年 / 26卷 / 06期
关键词：
Monte Carlo methods - Gaussian distribution - Gaussian noise (electronic);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We study orderd structures of binary mixtures with mobile particles under Gaussian noise with Monte Carlo method. It shows that interaction between particle and component decides position of particles and motion of particle can break up isotropy of the system. As this interaction is large, tilted strip pattern formation is observed with a particular external Gaussian noise and particle concentration. Furthermore, an optimal noise frequency region(p=0.005 0.02)exists, in which the system quickly forms high-oriented tilted strip pattern. ©2009 Chinese Nuclear Society.
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页码：925 / 930
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