Pattern recognition involves the use of algorithms and statistical techniques to identify regularities and trends within data sets. In catalysis, this can include recognizing relationships between catalyst structure, reaction conditions, and catalytic performance. Techniques such as machine learning, neural networks, and principal component analysis (PCA) are commonly used to discern these patterns.
