MIT Department of Materials Science and Engineering

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1. Oct 18
   MIT researchers create multimodal AI model for crystalline materials

   MIT researchers have created a multimodal AI model for crystalline materials that combines 3D atomic structures with natural-language descriptions, producing unified accounts of chemical composition, structure, properties, processing considerations and potential applications. In a Nature Communications paper, the team reported that the model, trained with contrastive learning on AI-generated crystal descriptions, identified better material designs than models trained on text streams alone and learned geometric representations that text-only models did not. In an example, its top candidates for solid-state lithium-ion battery electrolytes included materials independently identified as promising; the researchers compare the approach to AlphaFold.

   MIT News · AI · 🔥 0

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