What are Some Successful Applications of Machine Learning in Catalysis?
There have been several successful applications of machine learning in catalysis, including:
Predicting Catalyst Performance: ML models have been used to predict the activity and stability of catalysts in various reactions, such as hydrogenation and oxidation. Designing Novel Catalysts: Algorithms have identified new catalyst materials with improved performance, such as metal-organic frameworks (MOFs) and single-atom catalysts. Optimizing Reaction Conditions: ML has optimized reaction parameters, including temperature, pressure, and reactant concentrations, to maximize yield and selectivity. Automating Experimentation: Autonomous laboratories use ML to design and conduct experiments, significantly accelerating the research process.
