AI can enhance catalyst discovery through predictive modeling and high-throughput screening. Machine learning algorithms can analyze vast datasets from previous experiments to identify patterns and predict the performance of new catalysts. This predictive capability accelerates the identification of promising catalyst candidates without the need for extensive experimental trials.
