How Does Machine Learning Enhance Catalyst Design?
Machine learning algorithms can analyze historical data and identify the key features that influence catalytic activity and selectivity. By leveraging this data, ML models can predict the performance of new catalysts before they are synthesized. This approach accelerates the discovery of novel catalysts with desired properties, significantly reducing the experimental workload.
