What are the challenges and future directions in catalyst characterization?
While advanced characterization techniques have significantly improved our understanding of catalysts, challenges remain. For instance, correlating data from different techniques to build a comprehensive picture of catalytic behavior is complex. Future directions include the development of more sophisticated multi-technique approaches and the integration of machine learning to analyze large datasets for better predictive modeling.
