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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.

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Summary
This summary is machine-generated.

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.

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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.