The development of a catalytic model typically involves several steps:
1. Data Collection: Gather experimental data on reaction rates, catalyst properties, and reaction conditions. 2. Hypothesis Formulation: Develop hypotheses regarding the reaction mechanism and the role of the catalyst. 3. Model Construction: Use mathematical equations to represent the hypothesized mechanisms and kinetics. 4. Parameter Estimation: Estimate the parameters of the model using experimental data. 5. Model Validation: Validate the model by comparing its predictions with experimental results. 6. Optimization: Optimize the model to improve its accuracy and predictive power.
