Graphene-Based Gas Sensor Theoretical Framework

2017 ◽  
pp. 117-149 ◽  
Author(s):  
Elnaz Akbari ◽  
Aria Enzevaee ◽  
Hediyeh Karimi ◽  
Mohammad Taghi Ahmadi ◽  
Zolkafle Buntat
Keyword(s):  
Neural Network ◽  
Gas Sensor ◽  
Field Effect ◽  
Artificial Neural Network Model ◽  
Electrical Conductance ◽  
Current Voltage ◽  
Sensor Models ◽  
Effect Transistor ◽  
Different Gases ◽  
Special Case

Both graphene and CNTs experience changes in their electrical conductance when exposed to different gases (such as CO2, NO2, and NH3), and they are, therefore, ideal candidates for sensing/measuring applications. In this research, a set of novel gas sensor models employing Field Effect Transistor structure using these materials have been proposed. In the suggested models, different physical properties such as conductance, capacitance, drift velocity, carrier concentration, and the current-voltage (I-V) characteristics of graphene/CNTs have been employed to model the sensing mechanism. An Artificial Neural Network model has also been developed for the special case of a CNT gas sensor exposed to NH3 to provide a platform to check the accuracy of the models. The performance of the models has been compared with published experimental data which shows a satisfactory agreement.

GAS Sensor Modelling and Simulation

2017 ◽  
pp. 70-116
Author(s):  
Elnaz Akbari ◽  
Zolkafle Buntat ◽  
Mohammad Taghi Ahmadi ◽  
Hediyeh Karimi ◽  
Mohsen Khaledian
Keyword(s):  
Gas Sensor ◽  
Field Effect ◽  
Artificial Neural Network Model ◽  
Electrical Conductance ◽  
Current Voltage ◽  
Sensor Models ◽  
Effect Transistor ◽  
Sensor Modelling ◽  
Different Gases ◽  
Special Case

Both graphene and CNTs experience changes in their electrical conductance when exposed to different gases (such as CO2, NO2, and NH3), and they are, therefore, ideal candidates for sensing/measuring applications. In this research, a set of novel gas sensor models employing Field Effect Transistor structure using these materials have been proposed. In the suggested models, different physical properties such as conductance, capacitance, drift velocity, carrier concentration, and the current-voltage (I-V) characteristics of graphene/CNTs have been employed to model the sensing mechanism. An Artificial Neural Network model has also been developed for the special case of a CNT gas sensor exposed to NH3 to provide a platform to check the accuracy of the models. The performance of the models has been compared with published experimental data which shows a satisfactory agreement.

scholarly journals Simple and rapid gas sensing using a single-walled carbon nanotube field-effect transistor-based logic inverter

2021 ◽  
Author(s):  
Salomé Forel ◽  
Leandro Sacco ◽  
Alice Castan ◽  
Ileana Florea ◽  
Costel Sorin Cojocaru
Keyword(s):  
Carbon Nanotube ◽  
Power Consumption ◽  
Data Processing ◽  
Gas Sensor ◽  
Field Effect ◽  
Field Effect Transistor ◽  
Gas Sensing ◽  
Single Walled Carbon Nanotube ◽  
Effect Transistor ◽  
System Miniaturization

We design a gas sensor by combining two SWCNT-FET devices in an inverter configuration enabling a better system miniaturization together with a reduction of power consumption and ease of data processing.

Partial Dissolution of Charge Order Phase Observed in -(BEDT-TTF)2PF6 Single Crystal Field Effect Transistor

2016 ◽  
Vol 16 (4) ◽  
pp. 3267-3272
Author(s):  
Masatoshi Sakai ◽  
Norifumi Moritoshi ◽  
Shigekazu Kuniyoshi ◽  
Hiroshi Yamauchi ◽  
Kazuhiro Kudo ◽  
...  
Keyword(s):  
Electric Field ◽  
Single Crystal ◽  
Temperature Dependence ◽  
Crystal Field ◽  
Field Effect ◽  
Field Effect Transistor ◽  
Electrical Conductance ◽  
Charge Order ◽  
Crystal Field Effect ◽  
Effect Transistor

The effect of an applied gate electric field on the charge-order phase in β-(BEDT-TTF)2PF6 single-crystal field-effect transistor structure was observed at around room temperature by technical improvement with respect to sample preparation and electrical measurements. A relatively slight but systematic increase of the electrical conductance induced by the applied gate electric field and its temperature dependence was observed at around the metal-insulator transition temperature (TMI). The temperature dependence of the modulated electrical conductance demonstrated that TMI was shifted toward the lower side by application of a gate electric field, which corresponds to partial dissolution of the charge-order phase. The thickness of the partially dissolved charge order region was estimated to be several score times larger than the charge accumulation region.

scholarly journals A highly selective electron affinity facilitated H2S sensor: the marriage of tris(keto-hydrazone) and an organic field-effect transistor

2021 ◽  
Author(s):  
Saravanan Yuvaraja ◽  
Veerabhadraswamy Nagarajappa Bhyranalyar ◽  
Sachin Ashok Bhat ◽  
Sandeep Goud Surya ◽  
Channabasaveshwar Veerappa Yelamaggad ◽  
...  
Keyword(s):  
Gas Sensor ◽  
Electron Affinity ◽  
Field Effect ◽  
Field Effect Transistor ◽  
Preventive Measures ◽  
Organic Field Effect Transistor ◽  
Toxic Gases ◽  
Channel Resistance ◽  
Effect Transistor

The proposed H2S gas sensor is a novel heterojunction combination that can readily absorb toxic gases, changing the channel resistance of the device. The OFET device is a highly stable and selective tool that can help in taking preventive measures.

The capacitively controlled field effect transistor (CCFET) as a new low power gas sensor

1996 ◽  
Vol 36 (1-3) ◽  
pp. 285-289 ◽  
Author(s):  
Zenko Gergintschew ◽  
Peter Kornetzky ◽  
Dagmar Schipanski
Keyword(s):  
Low Power ◽  
Gas Sensor ◽  
Field Effect ◽  
Field Effect Transistor ◽  
Effect Transistor
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