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A Fabrication Method for Highly Stretchable Conductors with Silver Nanowires
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Highly stretchable carbon aerogels.

Fan Guo1, Yanqiu Jiang1, Zhen Xu2

  • 1MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.

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|March 2, 2018
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Summary
This summary is machine-generated.

Researchers developed highly stretchable carbon aerogels by using hierarchical synergistic assembly. These novel materials exhibit remarkable elasticity and durability, paving the way for advanced applications in aerospace and robotics.

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Polymer Science

Background:

  • Carbon aerogels offer unique properties like low density and high porosity, leading to diverse applications.
  • Achieving high stretchability in neat carbon aerogels is challenging due to brittle interconnections and ductile cells.

Purpose of the Study:

  • To engineer highly stretchable neat carbon aerogels with reversible elasticity.
  • To explore the potential of these materials as strain sensors for complex shape recognition.

Main Methods:

  • Hierarchical synergistic assembly of graphene and carbon nanotubes.
  • Characterization of mechanical properties including elasticity, energy dissipation, and fatigue resistance.
  • Fabrication and testing of strain sensors for shape conversion identification.

Main Results:

  • Developed carbon aerogels with 200% reversible elongation.
  • Achieved temperature-invariable, recoverable stretching elasticity with low energy dissipation (~0.1 at 100% strain).
  • Demonstrated high fatigue resistance exceeding 10^6 cycles and successful application as strain sensors.

Conclusions:

  • Hierarchical synergistic assembly enables unprecedented stretchability and elasticity in neat carbon aerogels.
  • The developed materials possess excellent mechanical properties, including fatigue resistance and low energy dissipation.
  • These stretchable carbon aerogels are promising for aerospace, smart robots, and wearable devices.