Accelerating the discovery and optimization of metal-organic framework materials via machine learning
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As a novel class of porous materials, metal-organic frameworks (MOFs) have attracted considerable attention due to their extensive applications in gas storage, separation, catalysis, and other fields. Traditional methods for the synthesis and optimization of M... ...
