How is Data Collected for Statistical Modeling in Catalysis?
Data collection is a crucial step for statistical modeling in catalysis. The data can be collected from: 1. Experimental Studies: Laboratory experiments that provide data on reaction rates, yields, and selectivities. 2. Literature: Published studies and reports that offer a wealth of data on various catalysts and reactions. 3. Databases: Specialized databases that compile experimental data and properties of catalysts. 4. High-throughput Screening: Automated techniques that quickly generate large datasets by testing many catalysts under different conditions.
