Dynamic interaction plays an important role in the design of smart materials, but how to utilize it to realize multifunction without sacrificing performance is also pursued goal. Herein, we report a shape memory network ([email protected]) with excellent healability and high-strength by simply blending flexible poly(tetramethylene ether glycol) (PTMEG) and polyether amine (PEA), which contained the complementary recognized groups π-electron-rich pyrene (Py) and π-electron-poor naphthalene diimide (NDI), respectively. The existence of CT interactions between NDI and Py was confirmed by color change, UV–vis spectrum and fluorescence spectrumb, and its reversibility can be driven by changing the temperature. Tuning the CT interactions between two precursors by varying the Py content, the mechanical properties of supramolecular polymer can increase from 2.8 MPa to 34.5 MPa. All the samples present excellent shape memory properties with high R_f (98%) and R_r (98%). And the highest self-healing efficiency (95%) was achieved in the sample PTMEG-Py_0.25@PEA-NDI which own relative low crosslinking degree.

动态交互在智能材料的设计中起着重要的作用，但是如何在不牺牲性能的情况下实现其多功能也是人们追求的目标。在这里，我们报告了一种形状记忆网络（[受电子邮件保护]），该形状记忆网络通过简单地混合含有互补识别基团π电子的柔性聚四亚甲基醚二醇（PTMEG）和聚醚胺（PEA），具有出色的可修复性和高强度富pyr（Py）和贫π电子的萘二酰亚胺（NDI）。NDI和Py之间CT相互作用的存在已通过颜色变化，紫外可见光谱和荧光光谱b证实，并且其可逆性可以通过改变温度来驱动。通过改变Py含量来调节两种前体之间的CT相互作用，超分子聚合物的机械性能可以从2.8 MPa增加到34.5 MPa。所有样品均具有出色的形状记忆性能，并具有较高的R _f（98％）和R _r（98％）。交联度相对较低的样品PTMEG-Py _0.25 @ PEA-NDI达到了最高的自愈效率（95％）。