0000000000794776

AUTHOR

Swetlana Jungblut

showing 3 related works from this author

Osmotic compression of droplets of hard rods: a computer simulation study

2009

By means of computer simulations, we study how droplets of hard, rodlike particles optimize their shape and internal structure under the influence of the osmotic compression caused by the presence of spherical particles that act as depletion agents. At sufficiently high osmotic pressures, the rods that make up the drops spontaneously align to turn them into uniaxial nematic liquid-crystalline droplets. The nematic droplets or "tactoids" that are formed this way are not spherical but elongated, resulting from the competition between the anisotropic surface tension and the elastic deformation of the director field. In agreement with recent theoretical predictions, we find that sufficiently sm…

Materials scienceField (physics)Statistical Mechanics (cond-mat.stat-mech)education: Physics [G04] [Physical chemical mathematical & earth Sciences]General Physics and AstronomyAnchoringFOS: Physical sciencesMechanicsCondensed Matter - Soft Condensed MatterCompression (physics)RodSurface tensionPhysics::Fluid DynamicsCondensed Matter::Soft Condensed Matter: Physique [G04] [Physique chimie mathématiques & sciences de la terre]Liquid crystalTurn (geometry)Soft Condensed Matter (cond-mat.soft)Physical and Theoretical ChemistryAnisotropyCondensed Matter - Statistical Mechanicshealth care economics and organizationsJournal of Chemical Physics
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Polymer Nanowires

2010

Materials scienceNanotechnologyNanorod
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Isotropic–isotropic phase separation in mixtures of rods and spheres: Some aspects of Monte Carlo simulation in the grand canonical ensemble

2008

Abstract In this article we consider mixtures of non-adsorbing polymers and rod-like colloids in the isotropic phase, which upon the addition of polymers show an effective attraction via depletion forces. Above a certain concentration, the depletant causes phase separation of the mixture. We performed Monte Carlo simulations to estimate the phase boundaries of isotropic–isotropic coexistence. To determine the phase boundaries we simulated in the grand canonical ensemble using successive umbrella sampling [J. Chem. Phys. 120 (2004) 10925]. The location of the critical point was estimated by a finite size scaling analysis. In order to equilibrate the system efficiently, we used a cluster move…

Condensed Matter::Soft Condensed MatterPhysicsCanonical ensembleHybrid Monte CarloGrand canonical ensembleHardware and ArchitectureQuantum Monte CarloMonte Carlo methodDynamic Monte Carlo methodGeneral Physics and AstronomyKinetic Monte CarloStatistical physicsMonte Carlo molecular modelingComputer Physics Communications
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