What are Common Challenges in Nonlinear Regression for Catalysis?
Some common challenges include:
Model Complexity: Catalytic reactions often involve multiple steps and intermediates, making the models highly complex. Parameter Sensitivity: Nonlinear models can be highly sensitive to initial parameter estimates, requiring robust optimization techniques. Data Quality: The accuracy of the regression model is heavily dependent on the quality and quantity of experimental data.
