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Mesoscale simulation approach for assembly of small deformable objects.

Toluwanimi O Bello1, Sangwoo Lee1, Patrick T Underhill1

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Summary
This summary is machine-generated.

We adapted Vertex models to study ordered structures in soft particles. Rapid cooling creates local particle arrangements, not large single crystals, revealing insights into material formation.

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Area of Science:

  • Soft matter physics
  • Computational materials science

Background:

  • Understanding the formation of long-range ordered structures in soft materials is crucial for designing new materials.
  • Repulsive soft particles present unique challenges in predicting their self-assembly behavior.

Purpose of the Study:

  • To investigate the physical origins of long-range order in repulsive soft particle systems.
  • To explore the role of particle volume and surface area in structure formation.
  • To understand the influence of simulation constraints and cooling rates on emergent structures.

Main Methods:

  • Adaptation of Vertex models to simulate repulsive soft particles.
  • Incorporation of particle volume and surface area contributions into the model.
  • Utilizing Monte Carlo simulations for system sampling and structure selection.
  • Applying domain constraints to guide system transformations.
  • Performing rapid quenches from disordered states.

Main Results:

  • Observed transitions between body-centered cubic ordered states and disordered states.
  • Demonstrated that domain constraints can mimic Martensitic transformations between ordered states.
  • Showed that rapid quenches from disordered states result in metastable local arrangements, not single crystals.

Conclusions:

  • The study provides insights into the physical mechanisms driving self-assembly in soft particle systems.
  • Vertex models are effective in capturing structure transitions and the impact of external conditions.
  • Understanding quench dynamics is critical for controlling the crystalline structure of soft materials.