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Initial 3D Cell Cluster Control in a Hybrid Gel Cube Device for Repeatable Pattern Formations
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Controllable Dynamic Zigzag Pattern Formation in a Soft Helical Superstructure.

Zhi-Gang Zheng1, Rafael S Zola2, Hari Krishna Bisoyi1

  • 1Liquid Crystal Institute and Chemical Physics Interdisciplinary Program, Kent State University, Kent, OH, 44242, USA.

Advanced Materials (Deerfield Beach, Fla.)
|June 8, 2017
PubMed
Summary
This summary is machine-generated.

Researchers created a dynamic zigzag pattern in liquid crystals using light and electric fields. This controllable pattern formation in soft materials opens doors for new photonic devices.

Keywords:
adaptive materialshelical superstructuresself-organizedstimuli-responsivezigzag patterns

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Area of Science:

  • Soft condensed matter physics
  • Materials science
  • Photonic device engineering

Background:

  • Zigzag patterns are prevalent in nature, aiding functions like nutrient transport in leaves.
  • Understanding the formation of these complex patterns in soft materials is a significant scientific challenge.
  • Photoresponsive liquid crystal superstructures offer a platform for dynamic pattern generation.

Purpose of the Study:

  • To demonstrate a dynamically reconfigurable zigzag pattern in a photoresponsive liquid crystal superstructure.
  • To investigate the control of this pattern using combined electric fields and light irradiation.
  • To model and understand the underlying mechanisms of this dynamic pattern formation.

Main Methods:

  • Utilizing a photoresponsive self-organized cholesteric liquid crystal superstructure.
  • Applying simultaneous electric fields and light irradiation (UV and visible light).
  • Employing numerical simulations and probe laser diffraction for analysis.

Main Results:

  • Successfully generated and terminated a reversible zigzag pattern on demand.
  • Demonstrated precise manipulation of the pattern by alternating UV and visible light under an electric field.
  • Observed a unique crescent-shaped diffraction pattern associated with the zigzag structure.
  • Validated pattern evolution through numerical modeling.

Conclusions:

  • The study presents a novel method for creating controllable dynamic zigzag patterns in liquid crystals.
  • This reversible control mechanism, driven by combined stimuli, advances the understanding of soft material behavior.
  • The findings pave the way for fabricating advanced photonic devices and architectures.