IDEAS home Printed from https://ideas.repec.org/a/abq/ijist1/v5y2023i4p862-875.html
   My bibliography  Save this article

AI-Based Stoichiometric Engineering of Zinc Cobaltite

Author

Listed:
  • Syed Shehzad Hassan

    (Department of Physics Government College University Lahore)

Abstract

This study investigates the impact of stoichiometric variations and defect engineering on the structural, electrical, and electrochemical properties of zinc cobaltite (Zn1-xCo(1+x)-O4) synthesized via a modified sol-gel method. By systematically varying the Zn:Co ratio, an optimal composition, Zn0.75Co2.25O4, was identified, demonstrating superior performance metrics. SEMimages confirmed the morphological changesof spinel phase, with lattice parameter variations correlating to Zn content. EIS analysis revealed that moderate oxygen vacancies significantly enhanced conductivity, with Zn0.75Co2.25O4exhibiting the highest electrical and electrochemical performance. The optimized material achieved a specific capacity of 290 mAh/g at 1 A g-1and retained ~90% capacity after 500 cycles, surpassing prior benchmarks. This study provides a detailed understanding of the structure-property-performance relationship, highlighting the potential of defect-engineered zinc cobaltite for advanced energy storage applications.

Suggested Citation

  • Syed Shehzad Hassan, 2023. "AI-Based Stoichiometric Engineering of Zinc Cobaltite," International Journal of Innovations in Science & Technology, 50sea, vol. 5(4), pages 862-875, December.
    • Handle: RePEc:abq:ijist1:v:5:y:2023:i:4:p:862-875
    as

    Download full text from publisher

    File URL: https://journal.50sea.com/index.php/IJIST/article/view/1165/1693
    Download Restriction: no
    File URL: https://journal.50sea.com/index.php/IJIST/article/view/1165
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:abq:ijist1:v:5:y:2023:i:4:p:862-875. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Iqra Nazeer (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.