What are some success stories of Machine Learning in Catalysis?
There have been several notable successes in the use of machine learning for catalysis:
- Predicting Catalyst Performance: ML models have been used to predict the activity and stability of various catalysts, significantly speeding up the discovery process. - Optimizing Reaction Conditions: By employing reinforcement learning, researchers have optimized reaction conditions in complex catalytic processes, leading to enhanced efficiencies. - Discovering New Catalyst Materials: Machine learning has facilitated the identification of novel catalyst materials, such as alloys and metal-organic frameworks (MOFs), that exhibit superior performance characteristics.
