What Role Do Experimental Data Play in Model Validation?
Experimental data are essential for the validation and calibration of catalytic models. High-quality, reproducible experimental results provide a benchmark against which computational predictions can be compared. This iterative process of model refinement ensures that the theoretical predictions align closely with observed experimental outcomes, thereby improving the model's reliability.
