The effect of concentration on gas sensor model based on graphene nanoribbon

Akbari, Elnaz; Yousof, Rubiyah; Ahmadi, Mohammad Taghi; Kiani, Mohammad Javad; Rahmani, Meisam; Abadi, H. Karimi Feiz; Saeidmanesh, Mehdi

doi:10.1007/s00521-013-1463-2

Cited by 15 publications

(13 citation statements)

References 18 publications

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“…Fabricating electronic devices in extremely small dimensions (fewer than 60 nanometers) has become possible owing to the modern advances in the construction of atomicsized conductors. [17][18][19] In 2007 for the rst time, the binding phenomena of a single NO 2 molecule on graphene surface was detected by measuring the adsorptioninduced changes in the carrier concentration and conductance. Therefore, a detection system with a good sensing mechanism and high sensitivity to detect these gases has become an essential need for modern nanoscale technology.…”

Section: Introductionmentioning

confidence: 99%

Analytical modeling of the sensing parameters for graphene nanoscroll-based gas sensors

et al. 2015

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Graphene nanoscrolls (GNSs) as a new category of quasi one dimensional (1D) materials belong to the carbon-based nanomaterials, which have recently captivated the attention of researchers. The latest discoveries of the outstanding characteristics of GNSs in terms of their structural and electronic properties such as, high mobility, controllable band gap, tunable core size, high mechanical strength, high sensing capability and large surface-to-volume ratio make them a great candidate for nanoelectronic devices in future work. Due to the importance and critical role of nanoscale sensors and biosensors in medical facilities and human life, using promising materials like graphene and graphene nanoscrolls has widely attracted the interest and attention of researchers to achieve better accuracy and sensitivity in these devices. Up until now, the majority of surveys conducted previously have focused on experimental studies for sensors. Therefore, there is a lack of analytical models in comparison to experimental surveys. In order to start and understand the modeling of gas sensor structure, the field effect transistor (FET)-based structure has been employed as a basic model for a gas detection sensor.The graphene nanoscroll conductance has been affected under exposure to the NH 3 gas molecules. The adsorption of NH 3 gas concentration on the GNSs surface which is caused by a chemical reaction between NH 3 and the GNSs. Therefore it makes the changes in the GNS conductance and currentvoltage characteristics of the proposed GNS based gas sensor. This phenomenon is considered as the sensing mechanism with proposed sensing parameters. The I-V characteristics of a GNS-based sensor have been proposed as a criterion to detect the effect of gas adsorption. Finally, in order to verify the accuracy of the proposed model, the results are compared with the existing experimental works.

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Section: Introductionmentioning

confidence: 99%

Analytical modeling of the sensing parameters for graphene nanoscroll-based gas sensors

et al. 2015

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“…Graphene Nano Ribbon based FET (GNRFET) is one device based on graphene which is being researched extensively for gas sensing [3]. The sensors have a change in conductance, threshold potential, drain current and sub-threshold swing when adsorption occurs for N 2 O and O 2 gases [4].…”

Section: Introductionmentioning

confidence: 99%

Modelling of Phosphorus and Gallium doped Nano-GNRFET based gas sensor

Moudgil

Swaminathan

2015

10th IEEE International Conference on Nano/Micro Engineered and Molecular Systems

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The modelling of a top-gated and bottom-gated Graphene-based Nano Ribbon Field Effect transistor (GNRFET) for sensing of N 2 O and O 2 gases is performed using Sentaurus TCAD and VASP by diffusing the gases over the surface of the Graphene Nano Ribbon (GNR) layer. The Sentaurus model corresponds to that of a doped GNR placed over the gate separated by a thin layer of insulator. From a VASP modelling of a zigzag GNR (ZGNR) doped with Gallium and Phosphorus, it has been observed that the density of states function varies in the presence of the gas. Results of the TCAD analysis also indicate that the gas absorbance by the doped GNR layer is reflected by a sizeable change in the conductivity and drain current making these structures promising candidates for enhanced nano scale sensing of such gases. The size of the Graphene nano ribbon is 90nm x 500nm for the top gated and 350nm x 1um for the bottom gated GNRFET, which has been considered adequate for gas adsorption.

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“…In the case of gas sensors, the best sensor would be defined as one that is able to detect even one molecule or atom of the chemical or gas [4][5][6]. Gas sensor efficiency can be improved significantly by the stateof-the-art technology [7][8][9][10][11]. Sensor technology has become omnipresent in the modern life, and nanosensor provides the foundation for highly developed electronic technology.…”

Section: Introductionmentioning

confidence: 99%

Bilayer Graphene Application on NO₂ Sensor Modelling

Akbari

Yusof

Ahmadi

et al. 2014

Journal of Nanomaterials

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Graphene is one of the carbon allotropes which is a single atom thin layer with sp2hybridized 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 byNO2injection 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 ofNO2gas, 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.

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The effect of concentration on gas sensor model based on graphene nanoribbon

Cited by 15 publications

References 18 publications

Analytical modeling of the sensing parameters for graphene nanoscroll-based gas sensors

Analytical modeling of the sensing parameters for graphene nanoscroll-based gas sensors

Modelling of Phosphorus and Gallium doped Nano-GNRFET based gas sensor

Bilayer Graphene Application on NO₂ Sensor Modelling

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The effect of concentration on gas sensor model based on graphene nanoribbon

Cited by 15 publications

References 18 publications

Analytical modeling of the sensing parameters for graphene nanoscroll-based gas sensors

Analytical modeling of the sensing parameters for graphene nanoscroll-based gas sensors

Modelling of Phosphorus and Gallium doped Nano-GNRFET based gas sensor

Bilayer Graphene Application on NO2 Sensor Modelling

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Product

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Bilayer Graphene Application on NO₂ Sensor Modelling