How Can Machine Learning Aid in Catalysis Networks?
Machine learning (ML) can significantly aid in the study and optimization of catalysis networks. ML algorithms can analyze large datasets generated from experimental and computational studies to identify patterns and correlations that may not be immediately apparent. This can lead to the discovery of new catalysts, prediction of reaction outcomes, and optimization of reaction conditions, making the overall process more efficient and cost-effective.
