论文标题
随机金属纳米线网络的电导率：分析考虑以及计算机模拟
Electrical conductivity of random metallic nanowire networks: An analytical consideration along with computer simulation
论文作者
论文摘要
我们提出了一个以随机的金属，纳米线网络为电导率的分析模型。我们模仿了由均匀，各向同性和随机沉积在绝缘底物上产生的随机纳米线网络。我们使用平均场近似研究了这些RRN的电导率。电导率对主要物理参数的分析依赖性（这些电线的数量密度和电阻以及它们之间的连接的电阻）已得出。已经进行了计算机模拟来验证我们的理论预测。我们计算了RRN的电导率，该电阻抗性为主的情况以及线电阻和连接电阻相等的情况下的导电填充物的数量密度。将计算结果与该平均场近似值进行了比较。我们的计算表明，我们的分析表达正确地预测了广泛数量密度的电导率。
We have proposed an analytical model for the electrical conductivity in random, metallic, nanowire networks. We have mimicked such random nanowire networks as random resistor networks (RRN) produced by the homogeneous, isotropic, and random deposition of conductive zero-width sticks onto an insulating substrate. We studied the electrical conductivity of these RRNs using a mean-field approximation. An analytical dependency of the electrical conductivity on the main physical parameters (the number density and electrical resistances of these wires and of the junctions between them) has been derived. Computer simulations have been performed to validate our theoretical predictions. We computed the electrical conductivity of the RRNs against the number density of the conductive fillers for the junction-resistance-dominated case and for the case where the wire resistance and the junction resistance were equal. The results of the computations were compared with this mean-field approximation. Our computations demonstrated that our analytical expression correctly predicts the electrical conductivity across a wide range of number densities.
