Exploring the Electrocatalytic Oxygen Evolution/Urea Oxidation Activity of Solution-Combusted CuO/MnO2: Machine Learning Insights from OER Performance

Puntos clave

• This research aims to explore the electrocatalytic performance of CuO/MnO2 for oxygen evolution and urea oxidation using machine learning methods.
• Utilized solution-combusted CuO/MnO2 as the electrocatalyst.
• Applied machine learning to analyze electrochemical performance metrics.
• Conducted experiments to assess oxygen evolution reaction (OER) and urea oxidation rates.
• CuO/MnO2 demonstrated significantly enhanced OER performance compared to other catalysts.
• Machine learning revealed key performance indicators that predict electrocatalytic efficiency.
• Findings suggest that CuO/MnO2 could be a viable alternative for sustainable energy applications.