RUS  ENG
Full version
JOURNALS // Optics and Spectroscopy // Archive

Optics and Spectroscopy, 2019 Volume 127, Issue 3, Page 468 (Mi os618)

This article is cited in 1 paper

Optics of low-dimensional structures, mesostructures, and metamaterials

Optical features of catalyst-free zinc oxide nanostructures confined to one dimension

D. Soubaneab, A. Tirbiyinec, M. Belliouad, S. Laasrie, A. Hajjajie

a Advanced Laser Light Source, Institut National de la Recherche Scientifique, Énergie Matériaux Télécommunications Research Centre, Varennes, Québec J3X 1S2 Canada
b Mining and Materials Engineering, McGill University, Montreal, Québec, H3A 2K6 Canada
c Equipe des Matériaux Supraconducteurs, Université Ibn Zohr, Faculté des Sciences, Agadir, Morocco
d Laboratory of Condensed MatterPhysics and Nanomaterials for Renewable Energy, Université Ibn Zohr, Agadir, Morocco
e Laboratoire des sciences de l’ingénieur pour l’énergie, ENSAJ, Université Chouaib doukkali, El Jadida, Morocco

Abstract: We successfully fabricated polycrystalline zinc oxide catalyst-free nanorods by a successive ion layer adsorption and reaction process. We measured their optical transmittance, reflectance and thickness in addition to performing X-ray diffraction and probing film microscopic topology. We extracted different optical constants such as absorption coefficient, band gap, complex refractive index and complex dielectric function and inferred the behavior of the optical conductivity and show the supremacy of the obtained ZnO nanostructure over a bulk material. It turns out that it is possible to obtain ZnO nanorods ultra-thin film with optical quality almost similar to those obtained by a contaminant metal catalyst approach requiring extra cost.

Keywords: nanorods, catalyst-free, zinc oxide, optical constants, SILAR, quantum confinement, downscaling.

Received: 26.01.2019
Revised: 26.01.2019
Accepted: 15.03.2019

Language: English

DOI: 10.21883/OS.2019.09.48204.35-19


 English version:
Optics and Spectroscopy, 2019, 127:3, 522–526

Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024