Sustainable green synthesis of sulfur-doped BiOCl/BiOBr type-II heterojunction via Azadirachta indica for visible-light-driven photocatalytic degradation of imidacloprid: Integration of machine learning for performance prediction
Key Points
Photocatalytic degradation of imidacloprid occurs efficiently, demonstrating effective performance under visible light.
Machine learning models predict the performance of the sulfur-doped BiOCl/BiOBr heterojunction with high accuracy based on experimental data.
The green synthesis method utilizes Azadirachta indica, highlighting an eco-friendly approach to creating effective photocatalysts.
Integration of advanced machine learning techniques may enable the identification of optimal properties for further photocatalytic applications.
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Sustainable green synthesis of sulfur-doped BiOCl/BiOBr type-II heterojunction via Azadirachta indica for visible-light-driven photocatalytic degradation of imidacloprid: Integration of machine learning for performance prediction | Synapse