2014
DOI: 10.1002/adma.201305843
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Nano‐Engineering of SWNT Networks for Enhanced Charge Transport at Ultralow Nanotube Loading

Abstract: We demonstrate a simple and controllable method to form periodic arrays of highly conductive nano-engineered single wall carbon nanotube networks from solution. These networks increase the conductivity of a polymer composite by as much as eight orders of magnitude compared to a traditional random network. These nano-engineered networks are demonstrated in both polystyrene and polythiophene polymers.

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Cited by 9 publications
(27 citation statements)
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“…[ 27 ] The much increased charge transport is due to the formation of an interconnected network of nanotubes inside the patterns from top to bottom of the fi lm. [ 27 ] The conductivity of a regio-regular semiconducting polymer and SWNT composite fi lm was increased by a factor of ≈14 at a low concentration of 0.11 wt% SWNTs. However, the relatively high pressures (15-50 bar) and temperatures needed (150-200 °C) may not be suitable for materials whose properties may change under these conditions.…”
Section: Doi: 101002/aelm201400030mentioning
confidence: 99%
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“…[ 27 ] The much increased charge transport is due to the formation of an interconnected network of nanotubes inside the patterns from top to bottom of the fi lm. [ 27 ] The conductivity of a regio-regular semiconducting polymer and SWNT composite fi lm was increased by a factor of ≈14 at a low concentration of 0.11 wt% SWNTs. However, the relatively high pressures (15-50 bar) and temperatures needed (150-200 °C) may not be suitable for materials whose properties may change under these conditions.…”
Section: Doi: 101002/aelm201400030mentioning
confidence: 99%
“…[ 27,31 ] The method presented is controllable, scalable and the low amount of SWNT necessary reduces bundling, increases transparency, and provides an economical solution for electronic applications. Finally, the use of room temperature prevents any unwanted change in materials' properties which may be caused by high temperatures.…”
Section: Doi: 101002/aelm201400030mentioning
confidence: 99%
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