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Navid Safari

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Open access Jul 2026

Machine learning and deep learning for predicting photocatalytic degradation efficiency of metronidazole via TiO2/ZnO nanocomposites: a response surface methodology approach

Findings underscore the effectiveness of kernel-based SVR in modeling complex photocatalytic systems with limited data and highlight the critical role of reaction conditions in optimizing degradation performance.

Navid Safari, Seyed Ghasem Rezvannasab, Reza Aghaei et al. · 0 citations

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