A carrier velocity model for electrical detection of gas molecules
Nanomaterial-based sensors with high sensitivity, fast response and recovery time, large detection range, and high chemical stability are in immense demand for the detection of hazardous gas molecules. Graphene nanoribbons (GNRs) which have exceptional electrical, physical, and chemical properties c...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Beilstein-Institut
2019-03-01
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| Series: | Beilstein Journal of Nanotechnology |
| Subjects: | |
| Online Access: | https://doi.org/10.3762/bjnano.10.64 |
| _version_ | 1819012470605348864 |
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| author | Ali Hosseingholi Pourasl Sharifah Hafizah Syed Ariffin Mohammad Taghi Ahmadi Razali Ismail Niayesh Gharaei |
| author_facet | Ali Hosseingholi Pourasl Sharifah Hafizah Syed Ariffin Mohammad Taghi Ahmadi Razali Ismail Niayesh Gharaei |
| author_sort | Ali Hosseingholi Pourasl |
| collection | DOAJ |
| description | Nanomaterial-based sensors with high sensitivity, fast response and recovery time, large detection range, and high chemical stability are in immense demand for the detection of hazardous gas molecules. Graphene nanoribbons (GNRs) which have exceptional electrical, physical, and chemical properties can fulfil all of these requirements. The detection of gas molecules using gas sensors, particularly in medical diagnostics and safety applications, is receiving particularly high demand. GNRs exhibit remarkable changes in their electrical characteristics when exposed to different gases through molecular adsorption. In this paper, the adsorption effects of the target gas molecules (CO and NO) on the electrical properties of the armchair graphene nanoribbon (AGNR)-based sensor are analytically modelled. Thus, the energy dispersion relation of AGNR is developed considering the molecular adsorption effect using a tight binding (TB) method. The carrier velocity is calculated based on the density of states (DOS) and carrier concentration (n) to obtain I–V characteristics and to monitor its variation in the presence of the gas molecules. Furthermore, the I–V characteristics and energy band structure of the AGNR sensor are simulated using first principle calculations to investigate the gas adsorption effects on these properties. To ensure the accuracy of the proposed model, the I–V characteristics of the AGNR sensor that are simulated based both on the proposed model and first principles calculations are compared, and an acceptable agreement is achieved. |
| first_indexed | 2024-12-21T01:44:34Z |
| format | Article |
| id | doaj.art-a92429d6a234446fb3468f227258cf7a |
| institution | Directory Open Access Journal |
| issn | 2190-4286 |
| language | English |
| last_indexed | 2024-12-21T01:44:34Z |
| publishDate | 2019-03-01 |
| publisher | Beilstein-Institut |
| record_format | Article |
| series | Beilstein Journal of Nanotechnology |
| spelling | doaj.art-a92429d6a234446fb3468f227258cf7a2022-12-21T19:20:04ZengBeilstein-InstitutBeilstein Journal of Nanotechnology2190-42862019-03-0110164465310.3762/bjnano.10.642190-4286-10-64A carrier velocity model for electrical detection of gas moleculesAli Hosseingholi Pourasl0Sharifah Hafizah Syed Ariffin1Mohammad Taghi Ahmadi2Razali Ismail3Niayesh Gharaei4UTM-MIMOS Center of Excellence in Telecommunication Technology, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, MalaysiaUTM-MIMOS Center of Excellence in Telecommunication Technology, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, MalaysiaNanotechnology Research Center, Nanoelectronic Group, Physics Department, Urmia University, 57147 Urmia, IranComputational Nanoelectronic Research Group (CoNE), School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, MalaysiaSchool of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, MalaysiaNanomaterial-based sensors with high sensitivity, fast response and recovery time, large detection range, and high chemical stability are in immense demand for the detection of hazardous gas molecules. Graphene nanoribbons (GNRs) which have exceptional electrical, physical, and chemical properties can fulfil all of these requirements. The detection of gas molecules using gas sensors, particularly in medical diagnostics and safety applications, is receiving particularly high demand. GNRs exhibit remarkable changes in their electrical characteristics when exposed to different gases through molecular adsorption. In this paper, the adsorption effects of the target gas molecules (CO and NO) on the electrical properties of the armchair graphene nanoribbon (AGNR)-based sensor are analytically modelled. Thus, the energy dispersion relation of AGNR is developed considering the molecular adsorption effect using a tight binding (TB) method. The carrier velocity is calculated based on the density of states (DOS) and carrier concentration (n) to obtain I–V characteristics and to monitor its variation in the presence of the gas molecules. Furthermore, the I–V characteristics and energy band structure of the AGNR sensor are simulated using first principle calculations to investigate the gas adsorption effects on these properties. To ensure the accuracy of the proposed model, the I–V characteristics of the AGNR sensor that are simulated based both on the proposed model and first principles calculations are compared, and an acceptable agreement is achieved.https://doi.org/10.3762/bjnano.10.64armchair graphene nanoribbonscarrier velocitygas sensorI–V characteristicsmolecular adsorption |
| spellingShingle | Ali Hosseingholi Pourasl Sharifah Hafizah Syed Ariffin Mohammad Taghi Ahmadi Razali Ismail Niayesh Gharaei A carrier velocity model for electrical detection of gas molecules Beilstein Journal of Nanotechnology armchair graphene nanoribbons carrier velocity gas sensor I–V characteristics molecular adsorption |
| title | A carrier velocity model for electrical detection of gas molecules |
| title_full | A carrier velocity model for electrical detection of gas molecules |
| title_fullStr | A carrier velocity model for electrical detection of gas molecules |
| title_full_unstemmed | A carrier velocity model for electrical detection of gas molecules |
| title_short | A carrier velocity model for electrical detection of gas molecules |
| title_sort | carrier velocity model for electrical detection of gas molecules |
| topic | armchair graphene nanoribbons carrier velocity gas sensor I–V characteristics molecular adsorption |
| url | https://doi.org/10.3762/bjnano.10.64 |
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