Small (Wiley)

Tuning Charge Storage in Bimetallic CoV–LDH for High‐Performance Supercapacitor: A Synergistic Experimental and Machine Learning Approach

Researchers employed a controlled partial‑reduction protocol to introduce oxygen vacancies into cobalt‑vanadium layered double hydroxides (CoV‑LDH). Density functional theory showed that these vacancies narrow the bandgap and increase electronic states near the Fermi level, boosting conductivity. Machine‑learning models linked synthesis variables to vacancy concentration and electrochemical performance with R² > 0.98. The vacancy‑rich electrode delivered 2437 F g⁻¹ specific capacitance and 47.1 Wh kg⁻¹ energy density in an asymmetric supercapacitor, far surpassing the untreated material.