scispace - formally typeset
J

Julia M. Yeomans

Researcher at University of Oxford

Publications -  421
Citations -  21122

Julia M. Yeomans is an academic researcher from University of Oxford. The author has contributed to research in topics: Lattice Boltzmann methods & Liquid crystal. The author has an hindex of 69, co-authored 410 publications receiving 18437 citations. Previous affiliations of Julia M. Yeomans include Eindhoven University of Technology & Sultan Qaboos University.

Papers
More filters
Journal ArticleDOI

Breakdown of Scale Invariance in the Coarsening of Phase-Separating Binary Fluids

TL;DR: In this paper, the authors present evidence based on lattice Boltzmann simulations that the coarsening of the domains in phase-separating binary fluids is not a scale-invariant process and emphasize that the pathway by which phase separation occurs depends strongly on the relation between diffusive and hydrodynamic time scales.
Journal ArticleDOI

Lattice Boltzmann study of hydrodynamic spinodal decomposition.

TL;DR: In this paper, the dynamics of dissolution of an equilibrium interface and phase separation in two-dimensional fluids using lattice Boltzmann simulations were studied, and results for a liquid-gas system and a binary fluid were compared.
Journal ArticleDOI

Instabilities and topological defects in active nematics

TL;DR: In this paper, the authors study a continuum model of an extensile active nematic and show that mesoscale turbulence develops in two stages: ordered regions undergo an intrinsic hydrodynamic instability generating walls, lines of strong bend deformations; the walls relax by forming oppositely charged pairs of defects.
Journal ArticleDOI

Lattice Boltzmann algorithm for three-dimensional liquid-crystal hydrodynamics.

TL;DR: In this paper, a lattice Boltzmann algorithm is proposed to simulate liquid-crystal hydrodynamics in 3D. The equations of motion are written in terms of a tensor order parameter, allowing both the isotropic and the nematic phases to be considered.
Journal ArticleDOI

Modeling microscopic swimmers at low Reynolds number.

TL;DR: In this article, the authors employ three numerical methods to explore the motion of low Reynolds number swimmers, modeling the hydrodynamic interactions by means of the Oseen tensor approximation, lattice Boltzmann simulations, and multiparticle collision dynamics.