Materials AI Is Advancing Fast, but One Big Piece Is Still Missing

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A ChemRxiv preprint reviewing 58 new materials-science foundation models found that 52 used a single data modality, while only six combined multiple modalities, and none combined multimodality with explicit physical grounding. The authors propose a framework that combines harmonized materials data, physics-aware multi-modal architectures, efficient specialization, and rigorous validation, although such a unified model has yet to be demonstrated.

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