With the advent of big data and advanced machine learning techniques, data analytics has become an invaluable tool in catalysis research. These methods can identify patterns and correlations that might not be apparent through traditional analysis. However, the quality of insights derived from these techniques heavily depends on the quality and quantity of the input data.
