Bridging Dissolved Organic Matter Reactivity to Ozonation Catalysts for Cu@Al 2 O 3 from the Molecular Level by Machine Learning

< -0.997). This study demonstrates a data-driven strategy of bridging molecular DOM profiling and catalyst descriptors, to guide the rational design of ozonation catalysts for targeted wastewater treatment.