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A simulation tool for Thin films transistors based on network of nanotubes or nanowires

Launch Tool

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Archive Version 1.6
Published on 31 May 2011
Latest version: 1.9. All versions

doi:10.4231/D3X921J3D cite this

This tool is closed source.



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NanoNET is a tool to simulate the Nanobundle Network Thin Film Transistors (NB-TFTs). Random networks of carbon nanotubes with thousands of tubes and random orientation can be simulated using this tool. The final answer can be compactly formulated in the formula shown in the picture. Here ID is current and LC and LS is channel length and tube length of the transistor and m is the current exponent.

For a normal Si MOSFET, m = 1 and the current is simply inversely proportional to channel length. But for these nanotube networks, m > 1 is also possible. Indeed, m = 1 for very high density networks but the value of m increases with decreasing tube density of the network

This abnormal behavior can be simply understood as follows:

When the density of tubes is very high, most of the tubes take part in conduction and the current simply doubles on halving the channel length. But for a lower density network, there are some islands of pools of nanotubes that are not taking part in the conduction which start to connect as channel length is reduced. So not only the average path length reduces, but the number of paths also goes up with decreasing channel length which causes this super-linear increase in the current with channel length or m > 1.

The smaller the density, the more pronounced is this effect and higher is the m.

Tags, a resource for nanoscience and nanotechnology, is supported by the National Science Foundation and other funding agencies. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.