What Role Does Machine Learning Play in Activity Prediction?
Machine learning has become an invaluable tool in predicting catalytic activity. By analyzing large datasets of known catalysts and their activities, machine learning models can identify patterns and make predictions about new or untested catalysts. Techniques such as neural networks, support vector machines, and decision trees are commonly used in this context.
