Analytical Prediction of Highly Sensitive CNT-FET-Based Sensor Performance for Detection of Gas Molecules

dc.contributor.authorHosseingholipourasl, Ali
dc.contributor.authorSyed Ariffin, Sharifah Hafizah
dc.contributor.authorRahimian Koloor, Seyed Saeid
dc.contributor.authorPetrů, Michal
dc.contributor.authorHamzah, Afiq
dc.date.accessioned2020-03-27T16:02:17Z
dc.date.available2020-03-27T16:02:17Z
dc.date.issued2020-03-27
dc.description.abstractIn this study, a set of new analytical models to predict and investigate the impacts of gas adsorption on the electronic band structure and electrical transport properties of the single-wall carbon nanotube field-effect transistor (SWCNT-FET) based gas sensor are proposed. The sensing mechanism is based on introducing new hopping energy and on-site energy parameters for gas-carbon interactions representing the charge transfer between gas molecules (CO2, NH3, and H2O) and the hopping energies between carbon atoms of the CNT and gas molecule. The modeling starts from the atomic level to the device level using the tight-binding technique to formulate molecular adsorption effects on the energy band structure, density of states, carrier velocity, and I-V characteristics. Therefore, the variation of the energy bandgap, density of states and current-voltage properties of the CNT sensor in the presence of the gas molecules is discovered and discussed. The simulated results show that the proposed analytical models can be used with an electrical CNT gas sensor to predict the behavior of sensing mechanisms in gas sensors.cs
dc.format.extent7 strancs
dc.identifier.WebofScienceResearcherIDG-6623-2013 Petrů, Michal
dc.identifier.doi10.1109/ACCESS.2020.2965806
dc.identifier.issn21693536
dc.identifier.orcid0000-0002-1820-6379 Rahimian Koloor, Seyed Saeid
dc.identifier.orcid0000-0002-7643-8450 Petrů, Michal
dc.identifier.urihttps://dspace.tul.cz/handle/15240/154659
dc.identifier.urihttps://ieeexplore.ieee.org/document/8955777
dc.language.isocscs
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE Access
dc.subjectadsorptioncs
dc.subjectCarbon nanotubecs
dc.subjectfield-effect transistorcs
dc.subjectgas sensorcs
dc.subjectI-V characteristicscs
dc.titleAnalytical Prediction of Highly Sensitive CNT-FET-Based Sensor Performance for Detection of Gas Moleculescs
local.accessopen access
local.article.number8955777
local.citation.epage12661
local.citation.spage12655
local.relation.volume8
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Analytical Prediction.pdf
Size:
5.89 MB
Format:
Adobe Portable Document Format
Description:
článek
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections