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Origami Inspired Self-assembly of Patterned and Reconfigurable Particles
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Self-assembly behavior of experimentally realizable lobed patchy particles.

Sanjib Paul1, Harish Vashisth1

  • 1Department of Chemical Engineering, University of New Hampshire, 33 Academic Way, Durham, NH 03824, USA. harish.vashisth@unh.edu.

Soft Matter
|September 16, 2020
PubMed
Summary

Simulation studies reveal how lobed patchy particles self-assemble into diverse structures. Particle shape, lobe size, and temperature critically influence the formation of porous aggregates and crystalline arrangements.

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Area of Science:

  • Colloid and Surface Science
  • Materials Science
  • Computational Chemistry

Background:

  • Patchy particles are engineered colloids with specific interaction sites.
  • Self-assembly of these particles is crucial for designing novel materials.
  • Controlling self-assembly requires understanding particle design and environmental factors.

Purpose of the Study:

  • To investigate the self-assembly behavior of five distinct lobed patchy particle shapes.
  • To explore the influence of lobe size and temperature on self-assembled structures.
  • To analyze the porosity of self-assembled structures and methods for tuning it.

Main Methods:

  • Computational simulation studies were performed on five lobed patchy particle geometries.
  • Lobe size was indirectly controlled by varying seed diameter.
  • Self-assembly was studied across a range of temperatures.

Main Results:

  • Snowman particles formed 2D sheets, elongated, or spherical micelles based on seed diameter at low temperatures.
  • Other lobed particles (dumbbell, trigonal planar, square planar, tetrahedral) self-assembled into random aggregates, spherical aggregates, liquid droplets, or crystalline structures.
  • Porous self-assembled structures were observed, with tunable porosity via lobe size and temperature.

Conclusions:

  • Particle shape, lobe size, and temperature are key parameters dictating self-assembly outcomes.
  • Lobed patchy particles offer versatile platforms for creating tunable porous materials.
  • Simulation provides a powerful tool for predicting and designing self-assembled colloidal systems.