DocumentCode
763010
Title
Performance Assessment of Subpercolating Nanobundle Network Thin-Film Transistors by an Analytical Model
Author
Pimparkar, Ninad ; Guo, Jing ; Alam, Muhammad A.
Author_Institution
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
Volume
54
Issue
4
fYear
2007
fDate
4/1/2007 12:00:00 AM
Firstpage
637
Lastpage
644
Abstract
Nanobundle network thin-film transistors (NB-TFTs) have emerged as a viable higher performance alternative to polysilicon and organic transistors with possible applications in macroelectronic displays, chemical/biological sensors, microelectronic high power transistors, and photovoltaics. A simple analytical model for current-voltage (I-V) characteristics of the NB-TFTs (below the global percolation limit) is proposed and validated by numerical simulation and experimental data. The physics-based predictive model provides a simple relation between the transistor characteristics and the design parameters which can be used for optimization of NB-TFTs. The model provides important insights into the recent experiments on the NB-TFT characteristics and electrical purification of the NB networks
Keywords
biosensors; chemical sensors; microdisplays; numerical analysis; photovoltaic cells; thin film transistors; analytical model; biological sensors; chemical sensors; current-voltage characteristics; macroelectronic displays; microelectronic high power transistors; nanobundle network thin-film transistors; numerical simulation; organic transistors; percolation threshold; performance assessment; photovoltaics; stick percolation; Analytical models; Biosensors; Chemical and biological sensors; Displays; Microelectronics; Nanobioscience; Organic chemicals; Photovoltaic cells; Power transistors; Thin film transistors; Percolation threshold; stick percolation; thin-film transistors (TFTs); transistors models;
fLanguage
English
Journal_Title
Electron Devices, IEEE Transactions on
Publisher
ieee
ISSN
0018-9383
Type
jour
DOI
10.1109/TED.2007.891871
Filename
4142898
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