How is Machine Learning Applied in Catalytic Research?
Machine learning algorithms, such as neural networks and decision trees, are used to build models that predict the performance of catalysts. These models are trained on historical data, including chemical properties, reaction conditions, and performance metrics. Once trained, the models can predict the outcomes of new catalytic reactions, guiding researchers in their experimental design.
