Why is Data-Driven Decision Making Important in Catalysis?
The complexity of catalytic reactions and the vast number of potential variables make traditional trial-and-error approaches inefficient and costly. Data-driven methods enable faster discovery and optimization by predicting outcomes based on historical data and simulations. This leads to more efficient use of resources, reduced experimentation time, and improved performance of catalytic systems.