渗流理论
碳纳米管
渗透(认知心理学)
渗流阈值
噪音(视频)
统计物理学
缩放比例
材料科学
连续介质渗流理论
同质性(统计学)
渗流临界指数
纳米管
凝聚态物理
纳米技术
物理
电导率
计算机科学
数学
电阻率和电导率
统计
量子力学
图像(数学)
几何学
神经科学
人工智能
生物
作者
S. Soliverès,J. Gyani,C. Delseny,A. Hoffmann,F. Pascal
摘要
The 1∕f noise in carbon nanotube random network films has been experimentally and theoretically investigated. The authors have established that the percolation process is the primary physical mechanism influencing the noise level in such films. Using percolation theory, the authors give an expression for the 1∕f noise scaling that describes how noise is affected by design variables of nanotube macrostructures. As expected for percolation networks, the noise amplitude strongly depends on the film homogeneity. This shows that noise analysis could be used as a tool to evaluate the quality of films.
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