The computational study of adsorption of carbon monoxide on pristine and Ge-doped (6,0) zigzag models of BNNTs
Authors
Abstract:
The aim of this research is studying the effects of Ge-doped on CO adsorption on the outer and inner surfaces of (6, 0) zigzag model of boron nitride nanotube (BNNTs) by using DFT theory. For this purpose, eight models of CO adsorption on the surfaces of BNNTs are considered. At first step, all structures were optimized at B3LYP and 6-31G (d) standard base set and then the electronic structure, adsorption energy, HOMO - LUMO orbitals, gap energy, quantum molecular descriptors, and NQR parameters were determined. The bond lengths neighborhood sites of Ge-doped of BNNTs at all models were increased and the bond angles decreased. The small adsorption energy value and large interaction distance show that the adsorption of CO on BNNTs is weakly physical adsorption due to weak Van der Waals interaction. Our calculated results show that the adsorption of CO on the surface of undoped models is more favorable than Ge-doped models. The NQR parameters of the first layer in all the models are larger than those other layers.
similar resources
the computational study of adsorption of carbon monoxide on pristine and ge-doped (6,0) zigzag models of bnnts
the aim of this research is studying the effects of ge-doped on co adsorption on the outer and inner surfaces of (6, 0) zigzag model of boron nitride nanotube (bnnts) by using dft theory. for this purpose, eight models of co adsorption on the surfaces of bnnts are considered. at first step, all structures were optimized at b3lyp and 6-31g (d) standard base set and then the electronic structure,...
full textThe DFT Study of Oxygen Adsorption on Pristine and As-Doped of the (4, 4) Armchair Models BNNTs
In this work, the effects of As-doped on the adsorption of oxygen gas on the outer and inner surface ofboron nitride nanotube (BNNTs) is investigated. The structural parameters, quantum properties involving:bond length, bond angle, HOMO-LUMO orbital, gapenergy, electron affinity, electronegativity, chemicalpotential, global hardness, global softness and NMR parameters of BNNTs are calculated at...
full textThe theoretical study of adsorption of HCN gas on the surface of pristine, Ge, P and GeP-doped (4, 4) armchair BNNTs
In this research, the effects of HCN adsorption on the surface of the pristine, Ge, P, and GeP doped boron nitride nanotube (BNNTs) are investigated by using density function theory at the B3LYP/6–31G(d, p) level of theory. At the first step, we consider different configurations for adsorbing HCN molecule on the surface of BNNTs. The optimized models are used to calculate the structural, electr...
full textthe effect of explicit teaching of metacognitive vocabulary learning strategies on recall and retention of idioms
چکیده ندارد.
15 صفحه اولthe dft study of oxygen adsorption on pristine and as-doped of the (4, 4) armchair models bnnts
in this work, the effects of as-doped on the adsorption of oxygen gas on the outer and inner surface ofboron nitride nanotube (bnnts) is investigated. the structural parameters, quantum properties involving:bond length, bond angle, homo-lumo orbital, gapenergy, electron affinity, electronegativity, chemicalpotential, global hardness, global softness and nmr parameters of bnnts are calculated at...
full textthe effect of consciousness raising (c-r) on the reduction of translational errors: a case study
در دوره های آموزش ترجمه استادان بیشتر سعی دارند دانشجویان را با انواع متون آشنا سازند، درحالی که کمتر به خطاهای مکرر آنان در متن ترجمه شده می پردازند. اهمیت تحقیق حاضر مبنی بر ارتکاب مکرر خطاهای ترجمانی حتی بعد از گذراندن دوره های تخصصی ترجمه از سوی دانشجویان است. هدف از آن تاکید بر خطاهای رایج میان دانشجویان مترجمی و کاهش این خطاها با افزایش آگاهی و هوشیاری دانشجویان از بروز آنها است.از آنجا ک...
15 صفحه اولMy Resources
Journal title
volume 2 issue Issue 3, pp. 162-231
pages 209- 221
publication date 2014-05-01
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023