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On demand shape memory polymer via light regulated topological defects in a dynamic covalent network

Author

Listed:
  • Wusha Miao

    (Zhejiang University)

  • Weike Zou

    (Zhejiang University)

  • Binjie Jin

    (Zhejiang University)

  • Chujun Ni

    (Zhejiang University)

  • Ning Zheng

    (Zhejiang University)

  • Qian Zhao

    (Zhejiang University
    ZJU-Hangzhou Global Scientific and Technological Innovation Center)

  • Tao Xie

    (Zhejiang University
    ZJU-Hangzhou Global Scientific and Technological Innovation Center)

Abstract

The ability to undergo bond exchange in a dynamic covalent polymer network has brought many benefits not offered by classical thermoplastic and thermoset polymers. Despite the bond exchangeability, the overall network topologies for existing dynamic networks typically cannot be altered, limiting their potential expansion into unexplored territories. By harnessing topological defects inherent in any real polymer network, we show herein a general design that allows a dynamic network to undergo rearrangement to distinctive topologies. The use of a light triggered catalyst further allows spatio-temporal regulation of the network topology, leading to an unusual opportunity to program polymer properties. Applying this strategy to functional shape memory networks yields custom designable multi-shape and reversible shape memory characteristics. This molecular principle expands the design versatility for network polymers, with broad implications in many other areas including soft robotics, flexible electronics, and medical devices.

Suggested Citation

  • Wusha Miao & Weike Zou & Binjie Jin & Chujun Ni & Ning Zheng & Qian Zhao & Tao Xie, 2020. "On demand shape memory polymer via light regulated topological defects in a dynamic covalent network," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18116-1
    DOI: 10.1038/s41467-020-18116-1
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    Cited by:

    1. Zizheng Fang & Yunpeng Shi & Hongfeng Mu & Runzhi Lu & Jingjun Wu & Tao Xie, 2023. "3D printing of dynamic covalent polymer network with on-demand geometric and mechanical reprogrammability," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    2. Jiayao Chen & Lin Li & Jiancheng Luo & Lingyao Meng & Xiao Zhao & Shenghan Song & Zoriana Demchuk & Pei Li & Yi He & Alexei P. Sokolov & Peng-Fei Cao, 2024. "Covalent adaptable polymer networks with CO2-facilitated recyclability," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    3. Guancong Chen & Haijun Feng & Xiaorui Zhou & Feng Gao & Kai Zhou & Youju Huang & Binjie Jin & Tao Xie & Qian Zhao, 2023. "Programming actuation onset of a liquid crystalline elastomer via isomerization of network topology," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

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