Synthesis of pillar-layered metal-organic frameworks with variable backbones through sequence control

被引:0
|
作者
Yuan, Jingjing [1 ]
Yang, Ming [1 ]
Yang, Bin [1 ]
Chen, Shuting [1 ]
Liu, Zhiqiang [2 ]
Pang, Qingqing [3 ]
Wan, Mingyu [2 ]
Zheng, Anmin [2 ,4 ]
Tu, Binbin [1 ,5 ]
机构
[1] Cent China Normal Univ, Coll Chem, Engn Res Ctr Photoenergy Utilizat Pollut Control &, Minist Educ,State Key Lab Green Pesticide, Wuhan, Peoples R China
[2] Wuhan Univ Sci & Technol, Interdisciplinary Inst NMR & Mol Sci, Sch Chem & Chem Engn, State Key Lab Refractories & Met, Wuhan, Peoples R China
[3] Wuhan Univ Sci & Technol, Sch Chem & Chem Engn, Key Lab Hubei Prov Coal Convers & New Carbon Mat, Wuhan, Peoples R China
[4] Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol, State Key Lab Magnet Resonance & Atom & Mol Phys, Wuhan, Peoples R China
[5] Wuhan Inst Photochem & Technol, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
UNITED-ATOM DESCRIPTION; FORCE-FIELD; TRANSFERABLE POTENTIALS; PHASE-EQUILIBRIA; STORAGE; FLEXIBILITY; CAPTURE;
D O I
10.1038/s41557-024-01717-4
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The properties and functions of metal-organic frameworks (MOFs) can be tailored by tuning their structure, including their shape, porosity and topology. However, the design and synthesis of complex structures in a predictable manner remains challenging. Here we report the preparation of a series of isomeric pillar-layered MOFs, and we show that their three-dimensional topology can be controlled by altering the layer stacking. This enables variability on the backbone structure, as well as diverse spatial arrangements of pillars and the partitioning of pore space into several kinds of cages packing in distinct sequences. These sequence-controlled MOFs (SC-MOF-1-6) showcase ultrahigh benzene capture capacities at low-pressure and high volumetric and gravimetric uptake performances in high-pressure methane storage. We provide the construction principles of the SC-MOFs and predict nearly 2,000 possible SC-networks with sophisticated composition sequences at the atomic level by using a Python script.
引用
收藏
页码:421 / 428
页数:11
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