Data-driven decision making in catalysis refers to leveraging large datasets and advanced analytical techniques to optimize catalytic processes. By utilizing computational methods, machine learning algorithms, and databases, researchers and engineers can make more informed decisions about catalyst selection, reaction conditions, and process improvements.
