The importance of big data in catalysis lies in its ability to accelerate the discovery and optimization of catalysts. Traditional methods can be time-consuming and resource-intensive. By leveraging big data, researchers can identify trends, optimize conditions, and predict outcomes more efficiently. This leads to faster development cycles, reduced costs, and improved catalyst performance.
