Carrier transport processes in assemblies of nanostructures rely on morphology-dependent and hierarchical conduction mechanisms, whose complexity cannot be captured by current modelling approaches. Here we apply the concept of complex networks to modelling carrier conduction in such systems. The approach permits assignment of arbitrary connectivity and connection strength between assembly constituents and is thus ideal for nanostructured films, composites and other geometries. Modelling of simplified rod-like nanostructures is consistent with analytical solutions, whereas results for more realistic nanostructure assemblies agree with experimental data and reveal conduction behaviour not captured by previous models. Fitting of ensemble measurements also allows the conduction properties of individual constituents to be extracted, which are subsequently used to guide the realization of transparent electrodes with improved performance. A global optimization process was employed to identify geometries and properties with high potential for transparent conductors. Our intuitive discretization approach, combined with a simple solver tool, allows researchers with little computational experience to carry out realistic simulations.

中文翻译：

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通过复杂的网络对纳米结构组件中的导电进行建模。

纳米结构组装体中的载流子传输过程依赖于形态学相关的分层传导机制，其复杂性无法通过当前的建模方法来捕捉。在这里，我们将复杂网络的概念应用于此类系统中的载流子传导建模。该方法允许在组件之间分配任意的连接性和连接强度，因此非常适合用于纳米结构的薄膜，复合材料和其他几何形状。简化的棒状纳米结构的建模与分析解决方案一致，而更现实的纳米结构组装的结果与实验数据一致，并揭示了先前模型未捕获的导电行为。合奏测量的拟合还允许提取单个成分的传导特性，随后将其用于指导透明电极性能的提高。使用全局优化过程来识别具有高潜力的透明导体的几何形状和特性。我们直观的离散化方法与简单的求解器工具相结合，使几乎没有计算经验的研究人员可以进行逼真的模拟。