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Multi-particle collision dynamics algorithm for nematic fluids.

Tyler N Shendruk1, Julia M Yeomans

  • 1The Rudolf Peierls Centre for Theoretical Physics, Department of Physics, Theoretical Physics, University of Oxford, 1 Keble Road, Oxford, OX1 3NP, UK. tyler.shendruk@physics.ox.ac.uk.

Soft Matter
|June 3, 2015
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Summary
This summary is machine-generated.

We developed a new multi-particle collision dynamics (MPCD) algorithm to simulate liquid crystal behavior. This method efficiently models complex fluid dynamics and director fields, crucial for understanding self-assembly and defect dynamics.

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Area of Science:

  • Soft matter physics
  • Computational fluid dynamics
  • Mesoscopic simulations

Background:

  • Simulating liquid crystals requires efficient algorithms for nematohydrodynamics.
  • Understanding defect dynamics and phase transitions is key in confined, flowing systems.

Purpose of the Study:

  • To present a novel multi-particle collision dynamics (MPCD) based algorithm.
  • To simulate liquid crystal hydrodynamic and director fields in 2D and 3D.
  • To validate the algorithm against known liquid crystal phenomena.

Main Methods:

  • Developed a multi-particle collision dynamics (MPCD) algorithm.
  • Simulated hydrodynamic and director fields in liquid crystals.
  • Validated the method by reproducing known physical behaviors.

Main Results:

  • The nematic-MPCD method successfully reproduced key liquid crystal features.
  • Observed a 3D nematic-isotropic phase transition with hysteresis.
  • Modeled defect dynamics, elastic coefficients, and alignment regimes accurately.

Conclusions:

  • The nematic-MPCD algorithm is a versatile and efficient tool for liquid crystal simulations.
  • This method accurately captures complex phenomena like phase transitions and defect dynamics.
  • It provides a robust framework for studying confined and flowing liquid crystal systems.