How are Machine Learning Algorithms Applied in Catalysis?
Machine learning algorithms can analyze large datasets from experimental and simulation studies to identify patterns and correlations. For example, neural networks can predict the activity and stability of new catalysts based on their structure and composition. Decision trees and random forests can help in understanding the significance of different variables in catalytic processes.
