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<p>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.</p><p></p>

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

  • 期刊论文

  • 发表日期：

    2025年1月20日

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  • Jingjing Yuan,
  • Ming Yang,
  • Bin Yang,
  • Shuting Chen,
  • Zhiqiang Liu,
  • Qingqing Pang,
  • Mingyu Wan,
  • Anmin Zheng,
  • Binbin Tu

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.