Analysis of Simulated Output Characteristics of Gas Sensor Based on Graphene Nanoribbon

Mahmoudi, A.; Troudi, M.; Bergaoui, Y.; Bondavalli, Paolo; Sghaier, N.

doi:10.1155/2016/9835340

Cited by 11 publications

(5 citation statements)

References 30 publications

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“…The sensing of gas molecules, bio-molecules and different chemicals is of great importance. The electronic and sensing properties of graphene have been the subject of several experimental and theoretical investigations, wherein the adsorptions of different gas molecules onto the graphene surface and nanoribbons have been studied by different groups of researchers [4,[15][16][17][18][19][20][21][22][23][24][25]. The adsorptions of several gas molecules including those of CO, NO, NO 2 , O 2 , N 2 , CO 2 and NH 3 onto GNR have been studied.…”

Section: Introductionmentioning

confidence: 99%

Folded graphene nanoribbon as a sensitive and selective gas sensor: first principles study

2019

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In recent years, graphene nanoribbon (GNR) has emerged as a promising new semiconducting substance due to its potential applications in nanoelectronics. Two types of GNRs; zigzag (ZGNR) and armchair (AGNR) have been investigated recently, where the latter is suitable for sensor applications due to its semiconducting properties. Moreover, a new configuration of AGNR, which is constructed by folding an AGNR over its width (FAGNR), has attracted significant attention due to its unique electrical properties. The potential applications of AGNR and FAGNR as gas sensors have been investigated in detail. In order to achieve stable atomic arrangement, each structure is relaxed up to a minimum energy construction. Using density functional theory, it is found that the interactions of CO, O 2 and CO 2 molecules with FAGNR are more than those with AGNR. Furthermore, based on non-equilibrium Green's function (NEGF), the current-voltage characteristics of the two aforementioned gas sensors are calculated and compared. It is demonstrated that FAGNR shows more resistive sensitivity and selectivity to CO 2 gas molecule even under normal atmospheric conditions, where FAGNR has already adsorbed O 2 gas molecules from ambiance. Consequently, it is deduced that FAGNR would open a new window for developing a selective and more efficient CO 2 resistive gas nanosensor.

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Section: Introductionmentioning

confidence: 99%

Folded graphene nanoribbon as a sensitive and selective gas sensor: first principles study

2019

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“…The gas sensors [1][2][3][4][5][6][7] and biosensors [8][9][10][11][12][13][14][15][16] models have been studied by differential equations in the literature. To improve the sustainability of our society, we use the gas sensors to detect, monitor and control the presence of dangerous gases in the atmosphere.…”

Section: Introductionmentioning

confidence: 99%

“…To improve the sustainability of our society, we use the gas sensors to detect, monitor and control the presence of dangerous gases in the atmosphere. Many metal oxide semiconductor-based gas sensors are used to detect the different kinds of gas molecules namely H 2 , CO,NH 3 , H 2 S, SO 2 , odours,other applications are reported in the field such as the detection of explosive gases, fire detection, and air quality [1][2][3][4][5][6][7]. This semiconductor-based gas sensor consists of sintered block, thick film and thin film.…”

Section: Introductionmentioning

confidence: 99%

“…Symmetries and transformations methods are also used to find the exact solutions for the same without considering their initial conditions. So the researchers keep on trying the new methods to overcome the limitations stated in the nonlinear differential equations Many researchers have investigated the substrate reaction-diffusion process through differential equations in nonlinear form, and they have also discussed the various methods to solve, and it can be found in [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. The dynamic behaviour of such a process is encountered in various physical and chemical phenomena and very helpful in modeling certain parameters like reaction-diffusion equations.…”

Section: Introductionmentioning

confidence: 99%

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Wavelet Solution for Biosensor Response at Mixed Enzyme Kinetics

Venkatesh*,

Balasubramanian,

Balachandar

2019

IJEAT

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This paper presents the approximate solution of the reaction diffusion equation based on the hybridization of classical polynomials and Legendre wavelets. The systems of equations are generated first for the differential equations by the properties of Legendre wavelets. Theoretical analysis for the proposed scheme is discussed and computed solutions are also compared with other numerical solutions available in the literature.

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“…Graphene introduced as the most important two-dimensional (2D) material, has been utilized in many applications. [1][2][3][4][5] There are absorbing solutions to progress the electrical performance of a Graphene-Nanoribbon-Field-Effect-Transistor (GNRFET). Work function engineering, 6 doping modification on the GNR surface 7,8 and combinational gate oxides 9 are only a few numbers of methods by researchers in order to enhance the electrical efficiency of GNRFET device.…”

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confidence: 99%

Non-Linearity and RF Intermodulation Distortion Check of Ultrascale GNRFET Device Using NEGF Technique to Achieve the Highest Reliable Performance

Anvarifard¹

2021

ECS J. Solid State Sci. Technol.

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The non-linearity and radio-frequency (RF) intermodulation distortion in ultrascale graphene-nanoribbon-field-effect-transistor (GNRFETs) is reported. The important figure of merits related to the non-linearity and the RF distortion in terms of transconductance, high-order harmonics, VIP2, VIP3, IIP3, IMD3 and 1-dB compression point have been explored to evaluate the power of ultrascale GNRFET device in RF high-performance applications. Also, the RF important parameters in the cases of total capacitance, cut-off frequency, and transconductance frequency product have been monitored. This paper presents a useful manual to improve the GNRFET RF performance while maintaining high reliability. The influence of the structural parameters of GNRFET device, such as the gate length, gate oxide thickness, gate oxide material, and GNR index on the RF parameters and nonlinearity/RF intermodulation distortion have been investigated in order to determine the best setup for the ultrascale GNRFET device applicable in RF applications. The paper benefits from the numerical approach governed by a nonequilibrium-greenfunction coupled by a three-dimensional Poisson equation in a self-consistent manner. Also, because the ultrascale GNRFET (gate length smaller than 7.5 nm) has been analyzed, the position-energy dependent effective mass model is considered for more accurate simulation.

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Analysis of Simulated Output Characteristics of Gas Sensor Based on Graphene Nanoribbon

Cited by 11 publications

References 30 publications

Folded graphene nanoribbon as a sensitive and selective gas sensor: first principles study

Folded graphene nanoribbon as a sensitive and selective gas sensor: first principles study

Wavelet Solution for Biosensor Response at Mixed Enzyme Kinetics

Non-Linearity and RF Intermodulation Distortion Check of Ultrascale GNRFET Device Using NEGF Technique to Achieve the Highest Reliable Performance

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