AI-Based Stoichiometric Engineering of Zinc Cobaltite

Syed Shehzad Hassan ()
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Syed Shehzad Hassan: Department of Physics Government College University Lahore

International Journal of Innovations in Science & Technology, 2023, vol. 5, issue 4, 862-875

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.

Keywords: Stoichiometric Variations; Zinc Cobaltite; Electrochemical Performance; Structure-Property-Performance (search for similar items in EconPapers)
Date: 2023
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