Analytical Prediction of Highly Sensitive CNT-FET-Based Sensor Performance for Detection of Gas Molecules

In this study, a set of new analytical models to predict and investigate the impacts of gas adsorption on the electronic band structure and electrical transport properties of the single-wall carbon nanotube field-effect transistor (SWCNT-FET) based gas sensor are proposed. The sensing mechanism is b...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.12655-12661
Main Authors: Hosseingholipourasl, Ali, Syed Ariffin, Sharifah Hafizah, Rahimian Koloor, Seyed Saeid, Petru, Michal, Hamzah, Afiq
Format: Article
Language:English
Subjects:
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">I-V characteristics
Adsorption
Ammonia
Band structure of solids
Carbon
Carbon nanotube
Carbon nanotubes
Carrier density
Charge transfer
Current voltage characteristics
Density of states
Energy bands
Field effect transistors
field-effect transistor
Gas detectors
gas sensor
Gas sensors
Graphene
Mathematical model
Mathematical models
Photonic band gap
Semiconductor devices
Sensors
Single wall carbon nanotubes
Transport properties
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Summary:In this study, a set of new analytical models to predict and investigate the impacts of gas adsorption on the electronic band structure and electrical transport properties of the single-wall carbon nanotube field-effect transistor (SWCNT-FET) based gas sensor are proposed. The sensing mechanism is based on introducing new hopping energy and on-site energy parameters for gas-carbon interactions representing the charge transfer between gas molecules (CO2, NH3, and H2O) and the hopping energies between carbon atoms of the CNT and gas molecule. The modeling starts from the atomic level to the device level using the tight-binding technique to formulate molecular adsorption effects on the energy band structure, density of states, carrier velocity, and I-V characteristics. Therefore, the variation of the energy bandgap, density of states and current-voltage properties of the CNT sensor in the presence of the gas molecules is discovered and discussed. The simulated results show that the proposed analytical models can be used with an electrical CNT gas sensor to predict the behavior of sensing mechanisms in gas sensors.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.2965806