How is Machine Learning Integrated into Catalytic Research?
Machine learning (ML) is increasingly being used to predict the properties and performance of catalysts. Algorithms can be trained on existing data to forecast outcomes of catalytic reactions, thereby reducing the need for extensive experimental trials. For instance, ML models can predict the activity, selectivity, and stability of catalysts based on their chemical descriptors.
