普遍性(动力系统)
电导率
渗流阈值
统计物理学
渗流临界指数
蒙特卡罗方法
渗透(认知心理学)
渗流理论
纳米线
导电体
格子(音乐)
凝聚态物理
路径(计算)
材料科学
物理
电阻率和电导率
数学
计算机科学
纳米技术
量子力学
统计
神经科学
声学
生物
程序设计语言
作者
Jianwen Zeng,Yu Wang,Zheng Xiao-Juan,Conghua Zhou
标识
DOI:10.1088/1361-6463/ac8082
摘要
Abstract Previous studies have found that the network conductivity of 2-dimensional disordered nanowire networks (DNNs) scaled linearly with the length-ratio of conducting-paths to all nanowires. To show the universality of this rule, the conducting behavior of a 2-dimensional site percolation problem is studied in this article with the assistance of a Monte Carlo based numerical simulation. It is observed that, as the existence probability of site increases in the 2-dimensional site percolated network, more conducting-paths are formed, and the network becomes more conductive. After correlating the site-percolated lattice to DNNs, the normalized network conductivity is observed to scale linearly with the length-ratio of conducting-paths to all bonds, which could be well described by the linear formula using a slope of 2 and an incept of 0.5. As a result, the length-ratio of conducting-paths could again serve as a basic topological parameter in describing the conducting behavior of 2-dimensional site percolation networks. Such universality enables the definition of an ‘effective path theory’, in which the normalized network conductivity scales linearly with the length-ratio of conducting-paths to all bonds.
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