Modeling of graphene nanoribbon field effect transistor

The scaling of Field Effect Transistor (FET) at nanoscale assures better performance of the device. The phenomenon of downsizing the device dimensions has led to challenges such as short channel effects, leakage current, interconnect difficulties, high power consumption and quantum effects. Therefor...

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Main Author: Rahmani, Meisam
Format: Thesis
Language:English
Published: 2013
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Online Access:http://eprints.utm.my/id/eprint/38443/5/MeisamRahmaniPFKE2013.pdf
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spelling my-utm-ep.384432017-07-06T04:11:54Z Modeling of graphene nanoribbon field effect transistor 2013-07 Rahmani, Meisam TK Electrical engineering. Electronics Nuclear engineering The scaling of Field Effect Transistor (FET) at nanoscale assures better performance of the device. The phenomenon of downsizing the device dimensions has led to challenges such as short channel effects, leakage current, interconnect difficulties, high power consumption and quantum effects. Therefore, new materials and device structures are needed as alternatives to overcome these challenges. In this research, an analytical model for Trilayer (ABA-stacked) Graphene Nanoribbon carrier statistics based on quantum confinement effect is presented. To this end, density of states, carrier concentration and ballistic conductance of Trilayer Graphene Nanoribbon (TGN) as an FET channel are modeled. Besides that, scaling behaviors of p-n junction, Homo junction, Schottky-barrier diode and Schottkybarrier FET based on the Graphene Nanoribbon application are analytically studied. This is demonstrated in the proposed structure of TGN Schottky-barrier FET that exhibits negligible short channel effects, improved on current, pragmatic threshold voltage, very good subthreshold slope, and fast transient between on-off states to meet the International Technology Roadmap for Semiconductors (ITRS) near-term guidelines. Therefore, the proposed model is suitable for a high speed switching application because the value of subthreshold slope for the proposed transistor is less than the ideal value of 60 mV/decade. A small value of subthreshold slope denotes a small change in the input bias which can modulate the output current and would lead to less power consumption. Finally, an analytical modeling of Graphene-based NO2 gas sensor is proposed. MATLAB software was used to implement the numerical methods for modeling and data analysis. Observations of the presented models showed acceptable agreement with the published data. 2013-07 Thesis http://eprints.utm.my/id/eprint/38443/ http://eprints.utm.my/id/eprint/38443/5/MeisamRahmaniPFKE2013.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Rahmani, Meisam
Modeling of graphene nanoribbon field effect transistor
description The scaling of Field Effect Transistor (FET) at nanoscale assures better performance of the device. The phenomenon of downsizing the device dimensions has led to challenges such as short channel effects, leakage current, interconnect difficulties, high power consumption and quantum effects. Therefore, new materials and device structures are needed as alternatives to overcome these challenges. In this research, an analytical model for Trilayer (ABA-stacked) Graphene Nanoribbon carrier statistics based on quantum confinement effect is presented. To this end, density of states, carrier concentration and ballistic conductance of Trilayer Graphene Nanoribbon (TGN) as an FET channel are modeled. Besides that, scaling behaviors of p-n junction, Homo junction, Schottky-barrier diode and Schottkybarrier FET based on the Graphene Nanoribbon application are analytically studied. This is demonstrated in the proposed structure of TGN Schottky-barrier FET that exhibits negligible short channel effects, improved on current, pragmatic threshold voltage, very good subthreshold slope, and fast transient between on-off states to meet the International Technology Roadmap for Semiconductors (ITRS) near-term guidelines. Therefore, the proposed model is suitable for a high speed switching application because the value of subthreshold slope for the proposed transistor is less than the ideal value of 60 mV/decade. A small value of subthreshold slope denotes a small change in the input bias which can modulate the output current and would lead to less power consumption. Finally, an analytical modeling of Graphene-based NO2 gas sensor is proposed. MATLAB software was used to implement the numerical methods for modeling and data analysis. Observations of the presented models showed acceptable agreement with the published data.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Rahmani, Meisam
author_facet Rahmani, Meisam
author_sort Rahmani, Meisam
title Modeling of graphene nanoribbon field effect transistor
title_short Modeling of graphene nanoribbon field effect transistor
title_full Modeling of graphene nanoribbon field effect transistor
title_fullStr Modeling of graphene nanoribbon field effect transistor
title_full_unstemmed Modeling of graphene nanoribbon field effect transistor
title_sort modeling of graphene nanoribbon field effect transistor
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2013
url http://eprints.utm.my/id/eprint/38443/5/MeisamRahmaniPFKE2013.pdf
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