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
Link To Document :
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