The cation-p interaction is as trong non-covalent interaction that can be used to prepare high-strength, stable supramolecular materials.H owever,b ecause the molecular plane of ac ation-containing group and that of aromatic structure are usually perpendicular when forming ac ation-p complex, it is difficult to exploit the cation-p interaction to prepare a2Dself-assembly in which the molecular plane of all the building blocks are parallel. Herein, ad ouble cation-pdriven strategy is proposed to overcome this difficulty and have prepared 2D self-assemblies with long-range ordered molecular hollowhexagons.The double cation-p interaction makes the 2D self-assemblies stable.The 2D self-assemblies are to be an effective carrier that can eliminate metal-nanoparticle aggregation. Such2 Da ssembly/palladium nanoparticle hybrids are shown to exhibit recyclability and superior catalytic activity for amodel reaction.

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Three-dimensional supramolecular polymers (3DSPs) have received considerable interest in recent years due to the use of dynamically reversible non-covalent interactions, which can endow 3DSPs attractive functions. However, the resulting 3DSPs...

The integration of mechanically interlocked molecules (MIMs) into purely organic crystalline materials is expected to produce materials with properties that are not accessible using more classic approaches. To date, this integration has proved elusive. We present a dative boron–nitrogen bond-driven self-assembly strategy that allows for the preparation of polyrotaxane crystals. The polyrotaxane nature of the crystalline material was confirmed by both single-crystal x-ray diffraction analysis and cryogenic high-resolution low-dose transmission electron microscopy. Enhanced softness and greater elasticity are seen for the polyrotaxane crystals than for nonrotaxane polymer controls. This finding is rationalized in terms of the synergetic microscopic motion of the rotaxane subunits. The present work thus highlights the benefits of integrating MIMs into crystalline materials.