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Reliability of AI/ML Computational Searches for Magnetic Materials: Databases, Validation, and Synthesizability
The rapid growth of AI/ML methods for materials discovery has increased the importance of the quality, physical completeness, and information content of computational databases. We examine these issues for magnetic materials, where incomplete sampling of competing magnetic states, chemical disorder,
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