CHINESE JOURNAL OF COMPUTATIONAL PHYSICS ›› 2009, Vol. 26 ›› Issue (6): 925-930.

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Gaussian Fluctuation-driven Ordered Structures of Binary Mixtures with Particles

FENG Wenqiang1,2, ZHU Yuejin2   

  1. 1. Science Department, Liaoning University of Science and Technology, Anshan 114044, China;
    2. Physics Department, Ningbo University, Ningbo 315211, China
  • Received:2008-06-27 Revised:2009-01-16 Online:2009-11-25 Published:2009-11-25

Abstract: 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 C, aussian 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.

Key words: Gaussian noise, binary mixtures, ordered structure

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