碳纳米管
香料
渗透(认知心理学)
材料科学
渗流阈值
缩放比例
电导
蒙特卡罗方法
纳米技术
非线性系统
纳米管
统计物理学
电阻率和电导率
凝聚态物理
电子工程
物理
数学
工程类
几何学
神经科学
统计
生物
量子力学
作者
Pil Soo Kang,Gyu Tae Kim
标识
DOI:10.1002/pssb.201100113
摘要
Abstract Realistic random networks of carbon nanotubes (CNTs) were simulated by the noble hybrid method combining Monte Carlo and SPICE simulations. Near the percolation threshold, the electrical characteristics of networks are strongly affected by the contacts among nanotubes. The nonlinear electrical junctions in the CNT network were modeled by suitable SPICE models and simulated using our hybrid simulation method. We successfully described the morphological percolation threshold, and the critical density was determined as a function of normalized length. The effects of electrical junctions on the scaling of the sheet conductance were investigated.
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