What are the Benefits of Machine Learning in Catalyst Design?
Machine learning algorithms can analyze vast datasets to identify patterns and correlations that are not immediately apparent. In catalyst design, machine learning can predict the performance of new catalysts, optimize reaction pathways, and even discover novel catalytic materials. This data-driven approach accelerates the innovation process and leads to the development of more effective and sustainable catalysts.
