A computational study on the SO2 adsorption by the pristine, Al, and Si doped BN nanosheets. (December 2016)
- Record Type:
- Journal Article
- Title:
- A computational study on the SO2 adsorption by the pristine, Al, and Si doped BN nanosheets. (December 2016)
- Main Title:
- A computational study on the SO2 adsorption by the pristine, Al, and Si doped BN nanosheets
- Authors:
- Behmagham, F.
Vessally, E.
Massoumi, B.
Hosseinian, A.
Edjlali, L. - Abstract:
- Abstract: It has been previously indicated that SO2 gas cannot be detected by graphene and a carbon nanotubes. Herein, the reactivity and electronic sensitivity of a boron nitride (BN) nanosheet and its Al- and Si-doped forms to the SO2 gas was investigated, using density functional theory. It was mainly found that, 1) the BN sheet has a good sensitivity to SO2 gas, but it suffers from a weak interaction energy, 2) replacing a B atom of the BN sheet by an Si atom significantly increases its reactivity but does not change the sensitivity, 3) the Al-doping moderately increases the reactivity and significantly improves the sensitivity. The adsorption energy is about −7.3, −24.3, and −51.3 kcal/mol on the pristine, Al-doped and Si-doped BN sheets. After the adsorption of SO2 gas on the Al-doped BN sheet, it is converted from a semiconductor to a semimetal compound, indicating that it may be used in the SO2 sensor devices. A recovery time of about 23.8 min at 298 K and 27.6 s at 335 K is predicted for Al-doped BN sheet. Also, the effect of density functional on the results are investigated. Highlights: BN sheet shows a good sensitivity to SO2 gas, but suffers from a weak interaction. Al-doping increases the reactivity and significantly improves the sensitivity. Al-doped BN nanosheet may be used in the SO2 sensor devices. A recovery time of about 27.6 s is predicted for Al-doped BN sheet at 335 K.
- Is Part Of:
- Superlattices and microstructures. Volume 100(2016)
- Journal:
- Superlattices and microstructures
- Issue:
- Volume 100(2016)
- Issue Display:
- Volume 100, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 100
- Issue:
- 2016
- Issue Sort Value:
- 2016-0100-2016-0000
- Page Start:
- 350
- Page End:
- 357
- Publication Date:
- 2016-12
- Subjects:
- Sensor -- Boron nitride -- Graphene-like -- DFT -- Sulfur dioxide
Superlattices as materials -- Periodicals
Microstructure -- Periodicals
Semiconductors -- Periodicals
Superréseaux -- Périodiques
Microstructure (Physique) -- Périodiques
Semiconducteurs -- Périodiques
621.38152 - Journal URLs:
- http://www.sciencedirect.com/science/journal/07496036 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.spmi.2016.09.040 ↗
- Languages:
- English
- ISSNs:
- 0749-6036
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8547.076700
British Library DSC - BLDSS-3PM
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- 5511.xml