Outlier detection in catalysis refers to the identification of data points that deviate significantly from the rest of the dataset. These outliers can result from experimental errors, unique reactions, or rare phenomena. Detecting and understanding these outliers is crucial for improving the reliability and accuracy of catalytic research and processes.
