Advanced data analysis in the context of catalysis involves the application of sophisticated statistical, computational, and machine learning techniques to analyze and interpret complex datasets. These datasets may arise from experimental measurements, simulations, or a combination of both. The goal is to extract meaningful insights about catalytic processes, optimize performance, and predict new catalyst behaviors.
