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A Computational study of pristine and Al-doped boron nitride nanosheet as CNCl sensor

عنوان مقاله: A Computational study of pristine and Al-doped boron nitride nanosheet as CNCl sensor
شناسه ملی مقاله: ISPTC20_097
منتشر شده در بیستمین کنفرانس شیمی فیزیک ایران (IPCC۲۰) در سال 1396
مشخصات نویسندگان مقاله:

R Moladoust - Department of Chemistry, University of Mohaghegh Ardabili, Ardabil, ۵۶۱۹۹۱۱۳۶۷, Iran
S.M Mousavi-Khoshdel - Department of Chemistry, Iran University of Science and Technology, Tehran, ۱۶۸۴۶۱۳۱۱۴, Iran
E Vessally - Department of Chemistry, Payame Noor University, Zanjan, Iran

خلاصه مقاله:
In order to explore a novel sensor to detect the cyanogen chloride (CNCl) molecule, we study the adsorption and electronic properties of the interaction CNCl with the pristine and Al-doped boron nitride nanosheet using density function theory. The most stable adsorption geometries, adsorption energies, charge transfers, and density of states of these systems are thoroughly discussed. Comparing the results of the pristine BN nanosheet with CNCl, we found that Al-doped BN nanosheet is more sensitive to the CNCl molecule, which is indicated by the calculated optimized geometry and electronic properties of these systems. Al-doped BN nanosheet is expected to be a potential candidate for detecting of toxic CNCl molecule.

کلمات کلیدی:
Gas Sensor; Cyanogen Chloride; BN nanosheet; DFT

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/741832/