Model validation in catalysis faces several challenges:
Complexity of Catalytic Systems: Catalytic processes often involve complex interactions and multiple steps, making it difficult to capture all relevant phenomena in a model. Variability in Experimental Data: Experimental results can vary due to differences in experimental conditions, making it challenging to obtain consistent data for validation. Computational Limitations: High-fidelity models can be computationally expensive, limiting the extent of validation that can be performed. Scale-Up Issues: Models validated at the lab scale may not always accurately predict behavior at industrial scales.
