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Measuring Material Microstructure Under Flow Using 1-2 Plane Flow-Small Angle Neutron Scattering

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Large-scale ordering of nanoparticles using viscoelastic shear processing.

Qibin Zhao¹, Chris E Finlayson², David R E Snoswell³

¹Nanophotonics Centre, Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge CB3 0HE, UK.

Nature Communications

|June 4, 2016

Summary

This summary is machine-generated.

Researchers developed a roll-to-roll process for assembling polymer nanoparticles into photonic crystals. This technique creates tunable structural color in polymer opals, enabling manufacturable photonic materials.

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Area of Science:

Materials Science
Nanotechnology
Polymer Science

Background:

Assembling nanoparticles into ordered superstructures for photonic materials is difficult.
Existing methods lack scalability and efficiency for creating complex nanostructures.

Purpose of the Study:

To develop a scalable method for assembling polymer nanoparticles into photonic crystals.
To demonstrate the creation of tunable structural color in polymer opals using a novel technique.

Main Methods:

Utilized a bending-induced oscillatory shear technique in a roll-to-roll process.
Employed sub-micron spherical polymer nanoparticles and high oscillatory strain amplitudes (300%).
Applied bidirectional shearing to improve the ordered structure of nanoparticle layers.

Main Results:

Successfully assembled flexible films of stacked polymer nanoparticles into elastomeric photonic crystals (polymer opals).
Achieved highly tunable structural color with strong intensity due to the ordered nanoparticle arrangement.
Demonstrated rapid crystallization across the bulk material within five oscillations.

Conclusions:

The bending-induced oscillatory shear technique enables direct, scalable fabrication of photonic materials.
The developed method provides a generic tool for ordering nanoparticles in viscoelastic media.
This approach facilitates the creation of manufacturable photonic materials with tunable optical properties.