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Self-Assembly of Optimally Packed Cylindrical Clusters inside Spherical Shells
Horacio Serna1, Ariel G Meyra2,3, Eva G Noya4
1Institute of Physical Chemistry Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland.
The Journal of Physical Chemistry. B
|September 1, 2022
Summary
Colloidal systems with competing interactions form ordered structures within spherical shells. A geometric model accurately predicts these self-assembled patterns, aiding nanocapsule manufacturing and DNA coiling applications.
Area of Science:
- Soft Matter Physics
- Materials Science
- Computational Chemistry
Background:
- Systems with competing interactions (short-range attraction, long-range repulsion) exhibit microphase formation.
- Confinement effects significantly influence self-assembly in colloidal systems.
Purpose of the Study:
- To investigate the self-assembly of colloidal systems with competing interactions under spherical confinement.
- To compare simulation results with a geometric model for predicting ordered structures.
Main Methods:
- Grand canonical Monte Carlo simulations were employed to model the colloidal system.
- The study focused on thermodynamic conditions favoring hexagonal phases of cylindrical clusters in bulk.
Main Results:
- Spontaneous formation of various ordered structures was observed within the spherical shells.
- Simulation outcomes showed excellent agreement with predictions from a simple geometric model.
- The model's accuracy is attributed to considering geometry and optimal packing of colloidal clusters.
Conclusions:
- Geometric models can effectively predict self-assembly in confined colloidal systems.
- Findings offer insights for manufacturing copolymer nanocapsules.
- The study suggests potential applications in coiling DNA strands on spherical substrates.
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