Several factors can influence the accuracy of models in catalysis: - Quality of Data: High-quality, reliable experimental data is essential for training accurate models. - Model Complexity: Overly simplistic models may miss critical factors, while overly complex models may overfit the data. - Computational Methods: The choice of computational methods (e.g., Density Functional Theory (DFT), Molecular Dynamics) can significantly impact accuracy. - Catalyst Properties: Intrinsic properties of catalysts, such as surface area, porosity, and active site distribution, must be accurately represented.
