ZnO Nanocrystal-Based Chloroform Detection: Density Functional Theory (DFT) Study

Ammar, H. Y.; H.M. Badran; Fouad, H.M.; Alothman, Othman Y.; Umar, Ahmad;

Abstract


We investigated the detection of chloroform (CHCl3) using ZnO nanoclusters via density
functional theory calculations. The e ects of various concentrations of CHCl3, as well as the deposition
of O atoms, on the adsorption over ZnO nanoclusters were analyzed via geometric optimizations.
The calculated di erence between the highest occupied molecular orbital and the lowest unoccupied
molecular orbital for ZnO was 4.02 eV. The most stable adsorption characteristics were investigated
with respect to the adsorption energy, frontier orbitals, elemental positions, and charge transfer. The
results revealed that ZnO nanoclusters with a specific geometry and composition are promising
candidates for chloroform-sensing applications.


Other data

Title ZnO Nanocrystal-Based Chloroform Detection: Density Functional Theory (DFT) Study
Authors Ammar, H. Y.; H.M. Badran ; Fouad, H.M. ; Alothman, Othman Y.; Umar, Ahmad
Keywords nanocrystal; ZnO; density of states; optical and electrical properties
Issue Date 19-Nov-2019
Publisher MDPI
Journal Coatings 
Volume 9
Issue 11
Start page 769
ISSN 2079-6412
DOI 10.3390/coatings9110769

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