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Korea Advanced Institute of Science and Technology
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LLM4MOF reveals that language-model agents can autonomously and interpretable design complex materials, outperforming conventional search methods at a fraction of the cost.
Experimental data can resolve discrepancies in MOF property predictions, with a multimodal transformer leveraging XRD patterns to distinguish between samples sharing the same framework.
