title: An analytical approach to evaluate the performance of graphene and carbon nanotubes for NH3 gas sensor applications.
abstract: Carbon, in its variety of allotropes, especially graphene and carbon nanotubes (CNTs), holds great potential for applications in variety of sensors because of dangling π-bonds that can react with chemical elements. In spite of their excellent features, carbon nanotubes (CNTs) and graphene have not been fully exploited in the development of the nanoelectronic industry mainly because of poor understanding of the band structure of these allotropes. A mathematical model is proposed with a clear purpose to acquire an analytical understanding of the field-effect-transistor (FET) based gas detection mechanism. The conductance change in the CNT/graphene channel resulting from the chemical reaction between the gas and channel surface molecules is emphasized. NH3 has been used as the prototype gas to be detected by the nanosensor and the corresponding current-voltage (I-V) characteristics of the FET-based sensor are studied. A graphene-based gas sensor model is also developed. The results from graphene and CNT models are compared with the experimental data. A satisfactory agreement, within the uncertainties of the experiments, is obtained. Graphene-based gas sensor exhibits higher conductivity compared to that of CNT-based counterpart for similar ambient conditions.
authors.affiliation: Centre for Artificial Intelligence and Robotics (CAIRO), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia.
authors.forename: Elnaz
authors.initials: E
authors.lastname: Akbari
authors.affiliation: Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia ; Department of Electrical Engineering and Physics, Wilkes University, Wilkes-Barre, PA 18766, USA.
authors.forename: Vijay Kumar
authors.initials: VK
authors.lastname: Arora
authors.affiliation: Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.
authors.forename: Aria
authors.initials: A
authors.lastname: Enzevaee
authors.affiliation: Computational Nanoelectronic Research Group Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.
authors.forename: Mohamad T
authors.initials: MT
authors.lastname: Ahmadi
authors.affiliation: Computational Nanoelectronic Research Group Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.
authors.forename: Mehdi
authors.initials: M
authors.lastname: Saeidmanesh
authors.affiliation: Computational Nanoelectronic Research Group Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.
authors.forename: Mohsen
authors.initials: M
authors.lastname: Khaledian
authors.affiliation: Centre for Artificial Intelligence and Robotics (CAIRO), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia ; Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia.
authors.forename: Hediyeh
authors.initials: H
authors.lastname: Karimi
authors.affiliation: Centre for Artificial Intelligence and Robotics (CAIRO), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia ; Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia.
authors.forename: Rubiyah
authors.initials: R
authors.lastname: Yusof
keywords: FET-based gas sensor; carbon nanotube (CNT); conductance; graphene