How Can Machine Learning Enhance Computational Catalysis?
Machine learning (ML) has emerged as a powerful tool to enhance computational catalysis. ML algorithms can analyze vast amounts of data to identify patterns and make predictions about catalytic behavior. These models can be used to screen potential catalysts more efficiently, predict reaction outcomes, and even discover new catalytic materials. By integrating ML with traditional computational methods, researchers can significantly accelerate the catalyst discovery process.
