纳米复合材料与绿色催化研究室

纳米复合材料与绿色催化研究室

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Research Results

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数据与知识驱动的材料设计方法

MOFs基先进催化/储能材料的理性设计与精准制备研究

Paper

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Domain-trained language model for inverse design and synthesis of high-performance hydrogen storage MOFs.Angew. Chem. Int. Ed.,2026,
Reaction mechanisms and rational design of MOF catalysts: insights from microscopic simulations.Coord. Chem. Rev.,2026,
LLM-assisted intelligent discovery of metal-organic frameworks for solid-state electrolytes.Mater. Today,2026,
Recent advances in MOF membranes for oil-water separation: from surface and pore engineering to multifunctional applications.Coord. Chem. Rev.,2026,

Patent

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Literary Achievements

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