Relation between critical exponent of the conductivity and the morphological exponents of percolation theory.

IF 2.2 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS
Carl Fredrik Berg, Muhammad Sahimi
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引用次数: 0

Abstract

A central unsolved problem in percolation theory over the past five decades has been whether there is a direct relationship between the critical exponents that characterize the power-law behavior of the transport properties near the percolation threshold, particularly the effective electrical conductivity σ_{e}, and the exponents that describe the morphology of percolation clusters. The problem is also relevant to the relation between the static exponents of percolation clusters and the critical dynamics of spin waves in dilute ferromagnets, the elasticity of gels and composite solids, hopping conductivity in semiconductors, solute transport in porous media, and many others. We propose an approach to address the problem by showing that the contributions to σ_{e} can be decomposed into several groups representing the structure of percolation networks, including their mass and tortuosity, as well as constrictivity that describes the fluctuations in the driving potential gradient along the transport paths. The decomposition leads to a relationship between the critical exponent t of σ_{e} and other percolation exponents in d dimensions, t/ν=(d-D_{bb})+2(D_{op}-1)+d_{C}, where ν, D_{bb}, D_{op}, and d_{C} are, respectively, the correlation length exponent, the fractal dimensions of the backbones and the optimal paths, and the exponent that characterizes the constrictivity. Numerical simulations in two and three dimensions, as well as analytical results in d=1 and d=6, the upper critical dimension of percolation, validate the relationship. We, therefore, believe that the solution to the 50-year-old problem has been derived.

电导率临界指数与渗流理论形态指数之间的关系。
过去五十年来,渗滤理论的一个核心未决问题是,表征渗滤阈值附近输运特性幂律行为的临界指数(尤其是有效电导率σ_{e})与描述渗滤簇形态的指数之间是否存在直接关系。这个问题还涉及渗滤簇的静态指数与稀铁磁体中自旋波临界动力学之间的关系、凝胶和复合固体的弹性、半导体中的跳电导率、多孔介质中的溶质输运等诸多方面。我们提出了一种解决这一问题的方法,表明对 σ_{e} 的贡献可以分解为代表渗滤网络结构的几组,包括其质量和迂回性,以及描述沿传输路径驱动势梯度波动的收缩性。通过分解可以得出 σ_{e} 的临界指数 t 与 d 维的其他渗滤指数之间的关系:t/ν=(d-D_{bb})+2(D_{op}-1)+d_{C},其中 ν、D_{bb}、D_{op} 和 d_{C} 分别是相关长度指数、骨干和最佳路径的分形维数以及表征收缩率的指数。二维和三维的数值模拟以及 d=1 和 d=6 (渗滤的临界上维度)的分析结果都验证了这一关系。因此,我们相信这个存在了 50 年之久的问题已经得到了解决。
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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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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