Machine learning and data science are becoming integral to catalysis research. By applying mathematical transformations to large datasets, these techniques can identify patterns and correlations that are not evident through traditional methods. This enables the discovery of new catalysts and optimization of existing ones, significantly accelerating the pace of catalysis research.
