Machine Learning Algorithms are powerful tools for predictive modeling and pattern recognition in catalysis. Algorithms like Random Forest, Support Vector Machines (SVM), and Neural Networks can analyze complex data sets to predict catalyst behavior and identify optimal conditions. For example, machine learning can predict the activity of a new catalyst based on training data from known catalysts, significantly speeding up the discovery process.
