What Role Does Machine Learning Play in Catalysis Automation?
Machine learning (ML) is revolutionizing catalysis by enabling predictive modeling and data-driven decision-making. ML algorithms can analyze vast datasets generated from high-throughput experiments to identify trends and correlations that would be impossible to detect manually. These insights can then be used to guide the design of new catalysts, optimize reaction conditions, and predict the performance of catalytic systems. The integration of ML with automated experimentation platforms can significantly accelerate the pace of discovery in catalysis.
