2020
DOI: 10.3390/mi11050453
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Simulations of Benzene and Hydrogen-Sulfide Gas Detector Based on Single-Walled Carbon Nanotube over Intrinsic 4H-SiC Substrate

Abstract: Carbon nanotubes (CNTs)-based sensors have gained significant importance due to their tremendous electrical and physical attributes. CNT-based gas sensors have high sensitivity, stability, and fast response time compared to that of solid-state sensors. On exposure to a large variety of organic and inorganic compounds, the conductivity of CNT changes. This change in electrical conductivity is being used as a detection signal to detect different target molecules. Hydrogen-sulfide and benzene are hazardous gases … Show more

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Cited by 5 publications
(2 citation statements)
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“…7, it can be seen that the DOS plot for the SET configuration of riboflavin (vitamin B2) and folic acid (vitamin B9), were significantly different from all other DOS curves, and these two devices have many abrupt spikes in energy states and sharp energy peaks in their DOS plot. These sharper energy peaks show the higher conductivity of these SET devices [80]. The applicability among the overall energy and the gate capability for the other 6 molecules is nonlinear.…”
Section: Resultsmentioning
confidence: 97%
“…7, it can be seen that the DOS plot for the SET configuration of riboflavin (vitamin B2) and folic acid (vitamin B9), were significantly different from all other DOS curves, and these two devices have many abrupt spikes in energy states and sharp energy peaks in their DOS plot. These sharper energy peaks show the higher conductivity of these SET devices [80]. The applicability among the overall energy and the gate capability for the other 6 molecules is nonlinear.…”
Section: Resultsmentioning
confidence: 97%
“…Being efficient adsorbents, carbon nanotubes (CNTs) are used for detecting pollutants with the aim of their consequent removal from air. Different types of CNTs have been synthesized and applied for this purpose [7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%