Lecture on the anomalous diffusion in Condensed Matter Physics

M. Benhamou
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引用次数: 1

Abstract

Diffusion is a natural or artificial process that governs many phenomena in nature. The most known diffusion is the Brownian or normal motion, where the mean-square-displacement of the tracer (diffusive particle among others) increases as the square-root of time. It is not the case, however, for complex systems, where the diffusion is rather slow, because at small-scales, these media present an heterogenous structure. This kind of slow motion is called subdiffusion, where the associated mean-square-displacement increases in time, with a non trivial exponent, alpha, whose value is between 0 and 1. In this review paper, we report on new trends dealing with the study of the anomalous diffusion in Condensed Matter Physics. The study is achieved using a theoretical approach that is based on a Generalized Langevin Equation. As particular crowded systems, we choose the so-called Pickering emulsions (oil-in-water), and we are interested in how the dispersed droplets (protected by small solid charged nanoparticles) can diffuse in the continuous phase (water). Dynamic study is accomplished through the mean-square-displacement and the velocity-autocorrelation-function. Finally, a comparison with Molecular Dynamics data is made.
关于凝聚态物理中的反常扩散的讲座
扩散是一种自然或人为的过程,它支配着自然界中的许多现象。最著名的扩散是布朗运动或正常运动,其中示踪剂(扩散粒子等)的均方位移随着时间的平方根而增加。然而,对于扩散相当缓慢的复杂系统,情况并非如此,因为在小尺度下,这些介质呈现异质结构。这种慢动作称为次扩散,其中相关的均方位移随时间增加,具有非平凡指数alpha,其值在0到1之间。本文综述了凝聚态物理中异常扩散研究的最新进展。该研究是利用基于广义朗之万方程的理论方法来实现的。作为特殊的拥挤系统,我们选择了所谓的皮克林乳液(水包油),我们对分散的液滴(由带电的小固体纳米粒子保护)如何在连续相(水)中扩散感兴趣。通过均方位移和速度自相关函数来完成动态研究。最后与分子动力学数据进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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