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Shear-induced ordering in systems with competing interactions: A machine learning study.
J Pȩkalski1, W Rządkowski2, A Z Panagiotopoulos3
1Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warszawa, Poland.
The Journal of Chemical Physics
|June 4, 2020
Summary
Shear forces can induce ordering in colloidal particle systems, forming complex lamellar structures. This research explores using shear to fabricate ordered materials from isotropic particles, offering a new fabrication route.
Area of Science:
- Colloid science
- Materials science
- Soft matter physics
Background:
- Colloidal systems with competing interactions can form complex microphases.
- Isotropic particles can exhibit lamellar or disordered fluid phases based on temperature.
Purpose of the Study:
- To investigate the phase behavior of isotropic particles under varying temperatures and shear rates.
- To explore the potential of shear-induced ordering for fabricating ordered lamellar structures.
Main Methods:
- System studied: isotropic particles with short-range attraction and long-range repulsion.
- Analysis techniques: Principal Component Analysis (PCA) and artificial neural networks (ANNs) on reduced dimensionality data.
- Conditions explored: equilibrium and non-equilibrium (shear) states at temperatures above melting.
Main Results:
- At equilibrium, the lamellar structure crystallizes.
- Out of equilibrium, shear induces a variety of structures dependent on shear rate and temperature.
- Shear-induced ordering was successfully analyzed using PCA and ANNs.
Conclusions:
- Shear forces offer a viable method for inducing order in colloidal systems.
- This approach presents a potential route for fabricating ordered lamellar structures from isotropic particles.
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