Machine learning (ML) leverages algorithms to analyze large datasets and make predictions without explicit programming. In catalysis, ML can be used for predicting catalytic activity, optimizing reaction conditions, and discovering new materials. By training models on existing data, ML can identify patterns that human analysis might overlook, thus speeding up the discovery process.
