Data collection in catalysis can be performed using various experimental and computational techniques. Once collected, the data undergoes several processing steps:
1. Preprocessing: Cleaning and transforming raw data to a usable format. 2. Integration: Combining data from multiple sources to create a comprehensive dataset. 3. Analysis: Applying statistical and computational methods to identify patterns and correlations. 4. Visualization: Using tools like graphs and charts to present the data in an interpretable form. 5. Modeling: Developing mathematical models to describe the catalytic processes and predict outcomes.
