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"Self-Lockable" Liquid Crystalline Diels-Alder Dynamic Network Actuators with Room Temperature Programmability and

Zhi-Chao Jiang1, Yao-Yu Xiao1, Lu Yin1

  • 1Département de Chimie, Université de Sherbrooke, Sherbrooke, Québec, J1K 2R1, Canada.

Angewandte Chemie (International Ed. in English)
|January 22, 2020
PubMed
Summary

New liquid crystalline Diels-Alder dynamic networks (LCDANs) offer easier programming and reprocessing for 3D actuators. These materials enable reversible shape changes and light-driven locomotion, advancing smart material applications.

Keywords:
Diels-Alder dynamic networkslight-driven soft robotsliquid crystalsroom temperature programmingsolution reprocessability

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Area of Science:

  • Materials Science
  • Polymer Chemistry
  • Soft Robotics

Background:

  • Liquid crystalline networks (LCNs) are advanced materials for actuators.
  • Existing LCN systems face challenges in programming and reprocessing.
  • Dynamic covalent bonds offer potential for improved material properties.

Purpose of the Study:

  • To develop novel main-chain liquid crystalline Diels-Alder dynamic networks (LCDANs).
  • To demonstrate enhanced ease of actuator programming and reprocessing.
  • To explore the potential of LCDANs for creating advanced 3D actuators with tunable properties.

Main Methods:

  • Synthesis of main-chain liquid crystalline Diels-Alder dynamic networks (LCDANs).
  • Deformation and self-locking of aligned mesogens via Diels-Alder (DA) bond formation.
  • Induction of order-disorder phase transitions for actuator actuation (thermal or optical).
  • Melt and solution processing techniques (e.g., fiber drawing, casting).

Main Results:

  • LCDANs exhibit unprecedented ease for actuator programming and reprocessing.
  • Solid 3D actuators capable of reversible shape change were formed.
  • Actuators demonstrated strip walker and wheel-capable light-driven locomotion.
  • Actuators can be erased at 125°C and reprogrammed under ambient conditions.
  • LCDANs allow direct melt and solution processing, unlike traditional LCNs.

Conclusions:

  • LCDANs represent a significant advancement over existing LCN systems.
  • The developed materials offer superior programmability and processability for actuator applications.
  • These findings pave the way for the development of more sophisticated and user-friendly smart actuators.