journal article·2018-01

Structural, optical and electrical properties of WO3–Ag nanocomposites for the electro-optical devices

Hamed Najafi-Ashtiani, Ali Bahari, Samira Gholipour, Siamak Hoseinzadeh

Applied Physics A· Volume 124· Issue 1
Publisher page

Abstract

The composites of tungsten trioxide and silver are synthesized by sodium tungstate and silver nitrate precursors. The structural properties of composite coatings are studied by FTIR, XRD, and XPS. The FTIR analysis of synthesized composite powder corroborated the bonds between tungsten and oxygen elements in WO3 molecules. Furthermore, the XRD spectra show crystalline nature while particle size analysis that is investigated by X-powder software shows average particle size of 24 and 25 nm for samples. The structural analyses show that the addition of silver dopant does not change the stoichiometry of tungsten trioxide and only increase the size of the aggregation in the films. Furthermore, these films have an average approximate roughness of about 10.7, 13.1 and 14.2 nm for sample 1, 2 and 3, respectively. The real and imaginative parts of permittivity are investigated using LCR meter in the frequency range 1 Hz–10 GHz. The optical spectra of composite coatings are characterized in the 300–900 nm wavelength range and the calculation of optical band gaps of them exhibited the directly allowed transition with the values of 3.8 and 3.85 eV. From UV–visible spectroscopy studies, the absorption coefficient of the composite thin films is determined to be of the order of 105 cm− 1 and the obtained refraction and extinction indexes indicated normal dispersive coatings. Due to their optical and electrical properties, the synthesized composite material is a promising candidate for use in electro-optical applicants.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Transition Metal Oxide Nanomaterials · Gas Sensing Nanomaterials and Sensors · Chalcogenide Semiconductor Thin Films

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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