SPACE: Structure-Preserving Cross-Modal Image Enhancement for Extreme Low-Light Conditions
Yue Zhang, Zhiliang Wu, Yuxuan Hou et al.
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Preprint
Jul 2026
Large language model agents accelerate inverse design of metal-organic frameworks for gas separation
LEMO Agent is presented, a large-language-model agent framework for closed-loop inverse design of gas-separation MOFs in MOFid space that enriches high-performing candidates, improves predicted separation performance, and maintains broad chemical and topological diversity.
Zhaolin Hu, Hehe Fan, Wangyihan Guo et al.
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