JOURNAL ARTICLE
Dielectric and Optical Properties of δ‐Bi2O3 Quaternary Semiconducting Solid Solutions.
Published In: Physica Status Solidi. A: Applications & Materials Science, 2024, v. 221, n. 4. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Ramirez-Dela Cruz, Antonio; Bocanegra-Bernal, Miguel Humberto; Márquez-Torres, Miguel; Venegas-Contreras, Estefania; Rojas-George, Gabriel; Reyes-Rojas, Armando 3 of 3
Abstract
Quaternary compositions of polycrystalline Bi1.74Dy0.14W0.12−xScxO3 (x = 0.02, 0.03, 0.04, 0.05, 0.06) solid solutions are synthesized by the solid‐state reaction method. The 4a site symmetry of the Fm3¯m$F m \overset{\cdot}{3} m$ space group occupied by Sc3+ ion retains the cubic fluorite‐type over a wide temperature range (450–700 °C) for low Sc3+ content without losing the δ‐phase. Dielectric and ionic conductivity by complex impedance in the frequency range from 0.1 to 100 kHz suggests a temperature‐ and Sc3+‐dependent relaxation process. The ionic conductivity increases with the Sc3+ content over the whole tested temperature range. An oxygen ion conductivity of 0.102 Scm−1 at 700 °C and an activation energy of 0.32 eV are achieved for x = 0.06. Optical properties and Rietveld refinement indicate a bandgap reduction due to a bond length reduction (Bi—O). These materials have potential in photocatalysis and water‐splitting technology due to their UV and visible region absorption capabilities. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Physica Status Solidi. A: Applications & Materials Science. 2024/02, Vol. 221, Issue 4, p1
- Document Type:Article
- Subject Area:Science
- Publication Date:2024
- ISSN:1862-6300
- DOI:10.1002/pssa.202300800
- Accession Number:175567628
- Copyright Statement:Copyright of Physica Status Solidi. A: Applications & Materials Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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