Which Machine Learning Techniques are Commonly Used?
Several ML techniques are particularly relevant to catalysis: - Regression Models: Used for predicting continuous outcomes such as reaction rates. - Classification Models: Helpful in categorizing catalytic materials based on their performance. - Clustering Algorithms: Useful for identifying groups of catalysts with similar properties. - Neural Networks: Powerful for uncovering complex relationships in large datasets.
