Langley Daniel P, Lagrange Mélanie, Nguyen Ngoc Duy, Bellet Daniel
Univ. Grenoble Alpes, CNRS, Grenoble INP, LMGP, 38000 Grenoble, France.
Nanoscale Horiz. 2018 Sep 1;3(5):545-550. doi: 10.1039/c8nh00066b. Epub 2018 Jul 5.
Planar networks composed of 1-dimensional nanometer scale objects such as nanotubes or nanowires have been attracting growing interest in recent years. In this work we directly compare the percolation threshold of silver nanowire networks to predictions from Monte Carlo simulations, focusing particularly on understanding the impact of real world imperfections on the percolation onset in these systems. This work initially determines the percolation threshold as calculated from an ideal system using Monte Carlo methods. On this foundation we address the effects of perturbations in length, angular anisotropy and radius of curvature of the 1-dimensional objects, in line with those observed experimentally in purposely fabricated samples. This work explores why two-dimensional stick models in the literature currently underestimate the percolation onset in real systems and identifies which of the network's features play the most significant role in that deviation.
由纳米管或纳米线等一维纳米尺度物体组成的平面网络近年来引起了越来越多的关注。在这项工作中，我们直接将银纳米线网络的渗流阈值与蒙特卡罗模拟的预测结果进行比较，特别关注理解现实世界中的缺陷对这些系统渗流起始的影响。这项工作首先使用蒙特卡罗方法确定理想系统计算出的渗流阈值。在此基础上，我们研究了一维物体长度、角各向异性和曲率半径的扰动效应，这与在特意制备的样品中实验观察到的情况一致。这项工作探究了为什么文献中的二维棒模型目前低估了实际系统中的渗流起始，并确定了网络的哪些特征在该偏差中起最重要的作用。
