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arXiv 1908.10016cond-mat.mes-hall
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随机纳米线网络中取向效应的解析模型

Analytical modeling of orientation effects in random nanowire networks

Milind Jagota, Isaac Scheinfeld

摘要:

由随机纳米线阵列制成的膜对于需要柔性透明导电膜的电子器件是有吸引力的选择。然而,到目前为止,还没有统一的理论来预测它们的电导率。特别是,取向分布对网络电导率的影响仍然知之甚少。我们提出了一个简化的随机纳米线网络电导率的分析模型,这是第一个准确地捕捉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,并收敛到真正的电导率纳米线密度的增长。该模型用渐近更快的计算取代了蒙特卡洛采样,实际上可以比标准计算模型更快地计算。我们的近似的成功提供了新的理论洞察纳米线的取向如何影响电导率,照亮未来的研究方向。

英文摘要:

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 is the first to accurately capture 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 novel theoretical insight into how nanowire orientation affects electrical conductivity, illuminating directions for future research.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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