How is Data Quality Important in AI-Driven Catalysis?
The success of AI and ML models heavily depends on the quality of the data they are trained on. Inaccurate or incomplete data can lead to erroneous predictions and suboptimal catalysts. Therefore, ensuring high-quality, well-curated data is crucial for the effective application of AI in catalysis.
