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Bilayer Graphene Application on NO2 Sensor Modelling
Joint Authors
Kiani, M. J.
Karimi, H.
Yusof, Rubiyah
Rahmani, Meisam
Akbari, Elnaz
Enzevaee, A.
Ahmadi, Mohammad Taghi
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-24
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Graphene is one of the carbon allotropes which is a single atom thin layer with sp2 hybridized and two-dimensional (2D) honeycomb structure of carbon.
As an outstanding material exhibiting unique mechanical, electrical, and chemical characteristics including high strength, high conductivity, and high surface area, graphene has earned a remarkable position in today’s experimental and theoretical studies as well as industrial applications.
One such application incorporates the idea of using graphene to achieve accuracy and higher speed in detection devices utilized in cases where gas sensing is required.
Although there are plenty of experimental studies in this field, the lack of analytical models is felt deeply.
To start with modelling, the field effect transistor- (FET-) based structure has been chosen to serve as the platform and bilayer graphene density of state variation effect by N O 2 injection has been discussed.
The chemical reaction between graphene and gas creates new carriers in graphene which cause density changes and eventually cause changes in the carrier velocity.
In the presence of N O 2 gas, electrons are donated to the FET channel which is employed as a sensing mechanism.
In order to evaluate the accuracy of the proposed models, the results obtained are compared with the existing experimental data and acceptable agreement is reported.
American Psychological Association (APA)
Akbari, Elnaz& Yusof, Rubiyah& Ahmadi, Mohammad Taghi& Enzevaee, A.& Kiani, M. J.& Karimi, H.…[et al.]. 2014. Bilayer Graphene Application on NO2 Sensor Modelling. Journal of Nanomaterials،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1041631
Modern Language Association (MLA)
Akbari, Elnaz…[et al.]. Bilayer Graphene Application on NO2 Sensor Modelling. Journal of Nanomaterials No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1041631
American Medical Association (AMA)
Akbari, Elnaz& Yusof, Rubiyah& Ahmadi, Mohammad Taghi& Enzevaee, A.& Kiani, M. J.& Karimi, H.…[et al.]. Bilayer Graphene Application on NO2 Sensor Modelling. Journal of Nanomaterials. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1041631
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1041631