How Does Machine Learning Enhance Computational Design?
Machine learning significantly enhances computational design by enabling the analysis of large datasets and the identification of complex relationships between chemical structures and their catalytic properties. ML algorithms can be trained on existing experimental data to predict the performance of new catalysts, thus guiding experimentalists towards the most promising candidates.
