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Updated: Apr 15, 2026

Origami Inspired Self-assembly of Patterned and Reconfigurable Particles
Published on: February 4, 2013
Self-assembly of active attractive spheres
Vasileios Prymidis1, Harmen Sielcken, Laura Filion
1Soft Condensed Matter, Debye Institute for Nanomaterials Science, Utrecht University, Princetonplein 5, 3584 CC Utrecht, The Netherlands. v.prymidis@uu.nl.
Self-propelled particles form dynamic networks. Decreasing rotational diffusion transforms liquid-gas states into percolating networks with local particle alignment, even without explicit aligning forces.
Area of Science:
- Soft Matter Physics
- Statistical Mechanics
- Computational Physics
Background:
- Understanding self-assembly in active matter systems is crucial for designing novel materials and understanding biological processes.
- Lennard-Jones particles are a fundamental model for studying interatomic interactions and phase transitions in fluids.
Purpose of the Study:
- To investigate the self-assembly behavior of self-propelled Lennard-Jones particles.
- To explore the influence of rotational diffusion on the phase diagram and emergent structures of these active particles.
Main Methods:
- Brownian dynamics simulations were employed to model the system of self-propelled particles.
- The study systematically varied the rotational diffusion coefficient to observe changes in system behavior.
Main Results:
- At high rotational diffusion, the system resembles an equilibrium Lennard-Jones fluid.
- Lowering rotational diffusion transforms the liquid-gas coexistence into a dynamic percolating network state.
- Significant local particle alignment was observed in the network state, despite the lack of aligning interactions.
Conclusions:
- Rotational diffusion is a key parameter controlling self-assembly in this active particle system.
- A novel dynamic percolating network state emerges with unique properties, including spontaneous local alignment.
- The findings offer insights into the fundamental mechanisms driving self-organization in active matter.
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