The primary reasons for using AR models in catalysis include:
Predictive Accuracy: AR models can provide highly accurate predictions of catalytic performance. Time-Series Analysis: These models are excellent for analyzing time-dependent data, which is common in catalytic reactions. Optimization: By understanding how catalytic processes evolve, researchers can optimize reaction conditions more effectively.