Defects in MOFs for Photocatalytic Water Reduction to Hydrogen Generation: From Fundamental Understanding to State‐of‐Art Materials

production and MOF properties, exploring strategies to address current limitations using defective Ti and Zr-based MOFs. Additionally, the role of machine learning (ML) in predicting MOF properties for faster material discovery and optimization is emphasized. This review aims to identify challenges and propose ideas for designing future defect-oriented MOF photocatalysts.