How can Principal Component Analysis (PCA) be applied in catalysis?
PCA can be used to analyze complex data sets, such as those obtained from high-throughput screening of catalysts. By reducing the dimensionality of the data, PCA helps in identifying the most important variables and patterns in the data. This can provide insights into the underlying mechanisms of catalytic reactions and guide the development of new catalysts.
