How Does Machine Learning Benefit Catalysis Research?
ML can significantly enhance catalysis research by providing predictive models that reduce the need for extensive trial-and-error experimentation. This leads to faster identification of promising catalysts, optimization of reaction conditions, and understanding of complex catalytic mechanisms. Additionally, ML can handle large datasets, making it easier to analyze high-throughput screening results.
