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Study Finds Lab Differences Can Weaken AI Catalyst Models
Key Takeaways
- A four-lab study examined how protocol and equipment differences affect catalyst data used for AI models.
- Researchers found that inconsistent experimental conditions can undermine prediction reliability.
- The work argues that reproducible, standardized data is essential for scientific machine learning.
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DT Editorial Team··via phys.org