What are the Challenges in Simplifying Complex Datasets?
Despite the benefits, several challenges exist in the simplification of complex datasets in catalysis:
Data Quality: Ensuring the accuracy and completeness of the dataset can be difficult. Overfitting: Simplified models may sometimes overfit the training data, reducing their generalizability. Computational Resources: Handling large datasets requires significant computational power and storage capacity. Interpretability: Simplified models or datasets may lose some of the intricate details that are crucial for understanding complex catalytic mechanisms.
