What Role Does Machine Learning Play in Feature Extraction?
Machine learning algorithms are increasingly being used to analyze large datasets generated from experimental and computational studies. These algorithms can identify patterns and correlations between different features and catalytic performance. Techniques like Principal Component Analysis (PCA) and neural networks are often employed to reduce dimensionality and predict the outcomes of catalytic processes.
