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Analytical modeling of orientation effects in random nanowire networks.
Physical Review E ( IF 2.2 ) Pub Date : 2020-01-01 , DOI: 10.1103/physreve.101.012304
Milind Jagota 1 , Isaac Scheinfeld 1
Affiliation  

Films made from random nanowire arrays are an attractive choice for electronics requiring flexible transparent conductive films. However, thus far there has been no unified theory for predicting their electrical conductivity. In particular, the effects of orientation distribution on network conductivity remain poorly understood. We present a simplified analytical model for random nanowire network electrical conductivity that accurately captures the effects of arbitrary nanowire orientation distributions on conductivity. Our model is an upper bound and converges to the true conductivity as nanowire density grows. The model replaces Monte Carlo sampling with an asymptotically faster computation and in practice can be computed much more quickly than standard computational models. The success of our approximation provides theoretical insight into how nanowire orientation affects electrical conductivity.

中文翻译:

随机纳米线网络中取向效应的分析模型。

对于需要柔性透明导电膜的电子产品而言,由随机纳米线阵列制成的膜是一个有吸引力的选择。但是,到目前为止,尚无用于预测其电导率的统一理论。特别是,取向分布对网络导电性的影响仍然知之甚少。我们为随机的纳米线网络电导率提供了一个简化的分析模型,可以准确地捕获任意纳米线取向分布对电导率的影响。我们的模型是一个上限,随着纳米线密度的增长而收敛到真实的电导率。该模型用渐近更快的计算代替了蒙特卡洛采样,并且在实践中可以比标准计算模型更快地进行计算。
更新日期:2020-01-15
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