How Does Machine Learning Enhance Automated Synthesis in Catalysis?
Machine learning plays a crucial role in optimizing catalytic processes within automated synthesis systems. By analyzing large datasets generated during high-throughput screening, machine learning algorithms can identify patterns and correlations that humans might overlook. This enables predictive modeling to forecast the performance of unknown catalysts and reaction conditions, thus guiding experimental efforts more effectively.
