Analysis of photocatalytic CO2 reduction over MOFs using machine learning

Photocatalytic CO 2 reduction over metal organic frameworks is investigated by constructing a database from published articles and analyzed using machine learning tools to predict the total gas product yield and predominant product types under various conditions.