Machine learning and AI are revolutionizing catalysis research by enabling the analysis of large datasets and the prediction of catalytic properties. ML algorithms can identify patterns and relationships that are not apparent through traditional methods. They are used in the high-throughput screening of catalysts, optimization of reaction conditions, and discovery of new catalytic materials.
