What are the Challenges in Implementing Probabilistic Interpretation?
There are several challenges in implementing probabilistic interpretation in catalysis:
1. Computational Complexity: Probabilistic methods, especially those involving large datasets or complex models, can be computationally intensive. 2. Data Availability: Reliable probabilistic models require extensive data, which might not always be available, particularly for novel catalysts or under-explored reactions. 3. Model Validation: Ensuring that probabilistic models accurately represent real-world catalytic behavior requires rigorous validation against experimental data.
