machine learning (ml) and artificial intelligence (ai)

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.

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