纳米复合材料与绿色催化研究室
- 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,
- Unveiling surface electronic descriptors and structure-activity relationships of frustrated lewis pairs within topologically engineered M6O4(OH)4-based MOFs for hydrogenolysis.ACS Catal.,2025,
