Validation of numerical simulations is a critical step to ensure their reliability. This is typically done by comparing the simulation results with experimental data. Key parameters used for validation may include reaction rates, selectivities, and product distributions. Discrepancies between simulation and experiment can provide valuable feedback for refining the models.
