JOURNAL ARTICLE

Computational investigation of the fundamental physical properties of lead-free halide double perovskite Rb2NaCoX6 (X = Cl, Br, and I) materials: Potential prospects for sustainable energy.

  • Published In: Modern Physics Letters B, 2024, v. 38, n. 34. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Kumari, Sunita; Rani, Upasana; Rani, Monika; Singh, Rashmi; Kamlesh, Peeyush Kumar; Kumari, Sarita; Kumar, Tanuj; Verma, Ajay Singh 3 of 3

Abstract

We have undertaken an ab initio investigation of emerging metal lead-free halide double perovskite materials for renewable energy applications using the WIEN2k simulation code. These materials have garnered significant attention from the research community due to their potential utility in electronic devices. Through an analysis of their electronic structure, we have ascertained that these materials exhibit characteristics of direct band gap semiconductors, falling within the energy range spanning 0.755 to 1.825 eV. Furthermore, to check their suitability for use in photovoltaic devices, optical properties have been investigated. The thermoelectric potential of these materials has been explored using the BoltzTraP simulation code. The study of thermoelectric parameters indicates that the studied materials are effective thermoelectric materials with a strong potential for n-type doping. Additionally, thermodynamic parameters have been investigated to check their thermal stability, required to make them promising candidates for a wide range of renewable energy applications. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Modern Physics Letters B. 2024/12, Vol. 38, Issue 34, p1
  • Document Type:Article
  • Subject Area:Environmental Sciences
  • Publication Date:2024
  • ISSN:0217-9849
  • DOI:10.1142/S0217984924503238
  • Accession Number:181229856
  • 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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