Why is Nonlinear Regression Important in Catalysis?
In the field of catalysis, reaction rates often follow complex, nonlinear patterns. Simple linear regression models are inadequate for capturing these dynamics. Nonlinear regression allows researchers to develop more precise and accurate models of catalytic reactions, which can then be used to optimize catalyst performance and reaction conditions. This is crucial for industrial applications where efficiency and yield are of paramount importance.
