The integration of computational methods in catalysis is revolutionizing the field. Advances in computational chemistry and machine learning are enabling the prediction of catalyst behavior and the design of new catalysts. Recent publications have shown how machine learning algorithms can predict the performance of bimetallic catalysts, significantly speeding up the discovery process.
