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The low-power law emergent response of random RCC' networks

机译:随机RCC网络的低功率法突出响应

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In this paper, we analyse the emergent response of random resistor-capacitor (RC) networks, which are widely used in modeling binary composite materials. By simply introducing two kinds of capacitors C and C-', we simulate the size effect of micro-capacitors formed by dielectric regions separating conductive regions in real materials. A low-power law emergent response (low PLER) is obtained in the framework of these random networks which we will be naming (RCC') therein. This simple model also explains the observed low frequency dispersion in porous sample of the perovskite lead zirconate titanate (PZT) as well as lead halide perovskite solar cells. The calculations has been achieved by using the well known Frank and Lobb algorithm. In addition, we investigate the effect of capacitor proportions and value ratios (C-'/C) on the PLER. A good agreement with EMA predictions is obtained at intermediate frequencies.
机译:在本文中,我们分析了随机电阻 - 电容器(RC)网络的紧急响应,这些网络广泛用于模拟二元复合材料。 通过简单地引入两种电容器C和C-',我们模拟了通过在真实材料中分离导电区域的介电区域形成的微电容器的尺寸效应。 在这些随机网络的框架中获得了低功率法突出响应(低pler),我们将在其中命名(rcc')。 该简单模型还解释了钙钛矿锆钛酸铅(PZT)的多孔样品中观察到的低频分散,以及卤化铅钙钙钛矿太阳能电池。 通过使用众所周知的弗兰克和单位算法来实现计算。 此外,我们还研究了PLOR上电容器比例和价值比(C - '/ C)的影响。 在中间频率下获得与EMA预测的良好一致性。

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