What is Machine Learning in the Context of Catalysis?
Machine learning (ML) in catalysis involves the use of algorithms and statistical models to analyze and predict the behavior of catalytic processes. It aims to accelerate the discovery and optimization of catalysts by learning from data and identifying patterns that are not easily discernible through traditional methods.
