Can Statistical Models Predict New Catalytic Materials?
Yes, statistical models can predict new catalytic materials by identifying patterns and relationships in existing data. Techniques like Quantitative Structure-Activity Relationship (QSAR) modeling and Machine Learning can be used to predict the activity of new catalysts based on their structural features.