Traditional methods of catalyst discovery often involve trial and error, which can be time-consuming and costly. Computational design offers a more efficient pathway by predicting the properties and performance of potential catalysts before they are synthesized and tested in the laboratory. This reduces the time and resources required for catalyst development and allows for the systematic exploration of a vast chemical space.