Limits of Performance Gain of Aligned CNT Over Randomized Network: Theoretical Predictions and Experimental Validation

Nanobundle thin-film transistors (NB-TFTs) that are based on random networks of single-walled carbon nanotubes are often regarded as high performance alternative to amorphous-Si technology for various macroelectronic applications involving sensors and displays. Here, we use stick-percolation model t...

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Bibliographic Details
Published inIEEE electron device letters Vol. 28; no. 7; pp. 593 - 595
Main Authors Pimparkar, N., Kocabas, C., Seong Jun Kang, Rogers, J., Alam, M.A.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.07.2007
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:Nanobundle thin-film transistors (NB-TFTs) that are based on random networks of single-walled carbon nanotubes are often regarded as high performance alternative to amorphous-Si technology for various macroelectronic applications involving sensors and displays. Here, we use stick-percolation model to study the effect of collective (stick) alignment on the performance of NB-TFTs. For long-channel TFT, small degree of alignment improves the drain current due to the reduction of average path length; however, near-parallel alignment degrades the current rapidly, reflecting the decrease in the number of connecting paths bridging the source/drain. In this paper, we 1) use a recently developed alignment technique to fabricate NB-TFT devices with multiple densities D, alignment thetas, stick length L S , and channel length L C ; 2) interpret the experimental data with a stick- percolation model to develop a comprehensive theory of NB-TFT for arbitrary D,thetas, L S , and L C ; and 3) demonstrate theoretically and experimentally the feasibility of fivefold enhancement in current gain with optimized transistor structure.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0741-3106
1558-0563
DOI:10.1109/LED.2007.898256