Analyzing multivariate inputs typically involves advanced statistical and computational methods. Techniques such as Design of Experiments (DoE), response surface methodology, and machine learning are often employed. These methods allow researchers to systematically vary multiple factors and analyze their effects on the catalytic performance. For example, a DoE approach can help identify the optimal combination of temperature, pressure, and reactant concentrations that maximize the catalytic activity.
