What Are the Applications of Large Datasets in Catalysis?
Large datasets have numerous applications in catalysis. They can be used to understand the structure-activity relationships of catalysts, helping to identify the key features that influence catalytic performance. This knowledge can guide the design of new catalysts with improved efficiency and selectivity. Additionally, large datasets can aid in the development of reaction mechanisms and kinetic models, providing a more comprehensive understanding of catalytic processes. Furthermore, they can be used to optimize reaction conditions and scale-up processes, leading to more efficient industrial applications.
