The integration of computational methods and machine learning into catalysis research has revolutionized the field. These tools allow for the prediction and optimization of catalytic processes at a molecular level, significantly speeding up the discovery of new catalysts. Computational catalysis helps in understanding the reaction mechanisms and in designing catalysts with tailored properties, thus aligning with the priorities of efficiency and precision.
