Analysis of photocatalytic CO<sub>2</sub> reduction over MOFs using machine learning
Simay Özsoysal, Burcu Oral, Ramazan Yıldırım
Abstract
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.
Topics & Concepts
PhotocatalysisReduction (mathematics)Yield (engineering)Product (mathematics)Process engineeringComputer scienceMaterials scienceChemical engineeringChemistryEngineeringMathematicsCatalysisMetallurgyOrganic chemistryGeometryMetal-Organic Frameworks: Synthesis and ApplicationsAdvanced Photocatalysis TechniquesMachine Learning in Materials Science