JOURNAL ARTICLE

First-principles study of ZnSn1−xTaxO3 (x=2.5% and x=5%) for opto-electronics and electronic structure properties.

  • Published In: Modern Physics Letters B, 2024, v. 38, n. 14. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Shahzad, Muhammad; Ali, Rawaid; Abdullah, M.; Malik, Naqash H.; Hou, Hongying; Azam, Sikander; Sohail, M.; Rahman, Amin Ur; Jawad, M. 3 of 3

Abstract

This study employs density functional theory (DFT) calculations to investigate the impact of tantalum (Ta) doping in ZnSnO3 to investigate the electronic and optoelectronic properties. ZnSnO3 is a promising semiconductor material with a wide bandgap and visible light transparency, making it suitable for optoelectronic applications. However, its low electrical conductivity limits its performance in these applications. The results revealed that our structural parameters are in good agreement with the experimental values. The electronic structures revealed that the top of the valence band and the bottom of the conduction band are decided by O 2p and Sn 5s states, respectively, and that ZnSn 1 − x TaxO3 presented a direct band gap (1.0 eV) located at Γ -point. Finally, the complex dielectric function and optical constants (such as absorption spectrum, refractive index, extinction coefficient, reflectivity, and energy-loss spectrum) were obtained and discussed in detail. Our findings also suggested that ZnSn 1 − x TaxO3 is a promising transparent semiconductor and photocatalyst. These insights provide opportunities for high-performance optoelectronic device design such as biomedical and LED. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Modern Physics Letters B. 2024/05, Vol. 38, Issue 14, p1
  • Document Type:Article
  • Subject Area:Physics
  • Publication Date:2024
  • ISSN:0217-9849
  • DOI:10.1142/S0217984924501136
  • Accession Number:175957459
  • Copyright Statement:Copyright of Modern Physics Letters B is the property of World Scientific Publishing Company 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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