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Area of Science:

  • Soft matter physics
  • Nanoparticle self-assembly
  • Computational materials science

Background:

  • Extensive research exists on the autonomous assembly of hard nanoparticles with fixed shapes.
  • Systems involving dynamically alterable particle shapes remain largely unexplored.
  • DNA origami nanostructures provide a method for creating shape-changing nanoparticles on demand.

Purpose of the Study:

  • To investigate the structure and dynamics of nanoparticle suspensions undergoing shape changes.
  • To analyze the collective diffusion and ordering during and after shape transformation.
  • To understand the impact of shape-changing dynamics on self-assembly processes.

Main Methods:

  • Dynamic hard-particle Monte Carlo simulations were employed.
  • Simulations were conducted at constant volume using two distinct protocols.
  • The study focused on hard squares elongating into rectangles.

Main Results:

  • The cascading protocol, mimicking DNA origami, was found to be susceptible to dynamic arrest.
  • An increase in effective packing fraction was identified as the cause of dynamic arrest.
  • Collective diffusion and ordering dynamics were analyzed during shape change and relaxation.

Conclusions:

  • Dynamically altering nanoparticle shapes introduces unique challenges in self-assembly.
  • The method of shape change significantly influences the system's ability to reach equilibrium.
  • Further research is needed to optimize protocols for controlled shape-changing nanoparticle assembly.