Morphology control and mathematic modeling of single-walled carbon nanotube (SWNT) network formation via liquid-phase deposition methods and applications in microelectronics
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Real world applications of individual SWNT based devices have conquered the rock due to the difficulty in separation of metallic nanotubes from semi-conducting nanotubes. In addition, the small size prolongs device fabrication time. Networks of carbon nanotubes came to rescue. Statistically, one third of as-produced nanotubes are metallic and the other two thirds are semi-conducting. By simply depositing as –produced nanotubes on the surface, the electronic properties of metallic tubes and semi-conducting tubes are averaged. This way, the electronic properties of the all surface should be worried in stead of the properties of single nanotube, which makes mass production of nanotube-based electronic devices possible. Among multiple network formation approaches, liquid-phase deposition has been proved promising in terms of network morphology control and macroscopic property control, which is critical in microelectronic device fabrications. This manuscript will focus mainly on two techniques in liquid-phase deposition approach, which are laminar flow deposition (LFD) and spin cast deposition (SCD). It has found that network morphology is easily manipulated via these techniques and macroscopic electrical properties of produced networks can be described and predicted via percolation theory based mathematic models and equations. In addition, factors that affect network properties have been discussed, approaches of optimizing these properties have been experimented and testified, and novel analysis methods have been introduced and proved effective.