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APT accelerates high-resolution diffusion models by up to 8.16脳 while enhancing energy efficiency, revolutionizing the feasibility of real-time generative AI applications.
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.
