When Literature Data Mislead Artificial Intelligence in Materials Discovery
This analysis reframes data accuracy as an infrastructure requirement for artificial-intelligence-driven discovery and motivates traceable reporting, curation, and validation practices for reusable scientific data.
Qian Wang, Ying Li, Ryuhei Sato et al.
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