What Are the Challenges in Integrating AI and ML with Catalysis?
Despite their potential, there are several challenges in integrating AI and ML with catalysis:
Data Quality: High-quality, consistent data is essential for training accurate models, but such data can be difficult to obtain. Model Interpretability: Understanding how models make predictions is crucial for gaining insights into catalytic mechanisms. Computational Resources: Advanced ML and AI algorithms require significant computational power and storage. Domain Expertise: Effective application of AI and ML in catalysis requires collaboration between data scientists and chemists.
