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Gaussian Fluctuation-driven Ordered Structures of Binary Mixtures with Particles
FENG Wenqiang, ZHU Yuejin
CHINESE JOURNAL OF COMPUTATIONAL PHYSICS    2009, 26 (6): 925-930.  
Abstract277)      PDF (558KB)(1031)      
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.
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