What Are the Challenges in Implementing Automation and AI in Catalysis?
Despite the advantages, there are challenges in integrating automation and AI in catalysis:
Data Quality: The effectiveness of AI models depends on the quality and quantity of experimental data. Inconsistent or incomplete data can lead to inaccurate predictions. Technical Complexity: Implementing and maintaining automated systems and AI algorithms requires specialized knowledge and expertise. Initial Investment: The cost of setting up automated laboratories and developing AI models can be significant.
