Abstract
We use the particle-based stochastic multi-particle collision dynamics (N-MPCD) algorithm to simulate confined nematic liquid crystals in regular two-dimensional polygons such as squares, pentagons and hexagons. We consider a range of values of the nematicities, U, and simulation domain sizes, R, that canvass nano-sized polygons to micron-sized polygons. We use closure arguments to define mappings between the N-MPCD parameters and the parameters in the continuum deterministic Landau-de Gennes framework. The averaged N-MPCD configurations agree with those predicted by Landau-de Gennes theory, at least for large polygons. We study relaxation dynamics or the non-equilibrium dynamics of confined nematics in polygons, in the N-MPCD framework, and the kinetic traps bear strong resemblance to the unstable saddle points in the Landau-de Gennes framework. Finally, we study nematic defect dynamics inside the polygons in the N-MPCD framework and the finite-size effects slow down the defects and attract them to polygon vertices. Our work is a comprehensive comparison between particle-based stochastic N-MPCD methods and deterministic/continuum Landau-de Gennes methods, and this comparison is essential for new-age multiscale theories.
| Original language | English |
|---|---|
| Pages (from-to) | 3755-3770 |
| Number of pages | 16 |
| Journal | Soft Matter |
| Volume | 20 |
| Issue number | 18 |
| DOIs | |
| Publication status | Published - May 2024 |
Keywords
- stochastic multi-particle collision dynamics (N-MPCD) algorithm
- nematic liquid crystals
- relaxation dynamics
- non-equilibrium dynamics
- nematic defect dynamics