Traditional methods of catalyst design are often time-consuming and resource-intensive. AI, through techniques such as machine learning and deep learning, can quickly sift through large datasets to identify promising catalyst candidates. By employing AI, researchers can simulate numerous reaction conditions and environments, significantly reducing the time needed to develop new catalysts.
