Data analysis is crucial in catalysis for several reasons:
Understanding Mechanisms: Helps in elucidating the underlying mechanisms of catalytic reactions. Optimization: Enables researchers to optimize reaction conditions for better performance and efficiency. Predictive Analysis: Allows for the prediction of reaction outcomes and the identification of potential issues. Scalability: Facilitates the scaling up of catalytic processes from the lab to industrial applications.