Entangled nematic disclinations using multi-particle collision dynamics.
| Autor: | Head LC; School of Physics and Astronomy, The University of Edinburgh, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, UK. t.shendruk@ed.ac.uk.; Department of Physics and Astronomy, Johns Hopkins University, Baltimore, MD, USA. l.c.head@jhu.edu., Fosado YAG; School of Physics and Astronomy, The University of Edinburgh, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, UK. t.shendruk@ed.ac.uk., Marenduzzo D; School of Physics and Astronomy, The University of Edinburgh, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, UK. t.shendruk@ed.ac.uk., Shendruk TN; School of Physics and Astronomy, The University of Edinburgh, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, UK. t.shendruk@ed.ac.uk. |
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| Jazyk: | angličtina |
| Zdroj: | Soft matter [Soft Matter] 2024 Sep 18; Vol. 20 (36), pp. 7157-7173. Date of Electronic Publication: 2024 Sep 18. |
| DOI: | 10.1039/d4sm00436a |
| Abstrakt: | Colloids dispersed in nematic liquid crystals form topological composites in which colloid-associated defects mediate interactions while adhering to fundamental topological constraints. Better realising the promise of such materials requires numerical methods that model nematic inclusions in dynamic and complex scenarios. We employ a mesoscale approach for simulating colloids as mobile surfaces embedded in a fluctuating nematohydrodynamic medium to study the kinetics of colloidal entanglement. In addition to reproducing far-field interactions, topological properties of disclination loops are resolved to reveal their metastable states and topological transitions during relaxation towards ground state. The intrinsic hydrodynamic fluctuations distinguish formerly unexplored far-from-equilibrium disclination states, including configurations with localised positive winding profiles. The adaptability and precision of this numerical approach offers promising avenues for studying the dynamics of colloids and topological defects in designed and out-of-equilibrium situations. |
| Databáze: | MEDLINE |
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