The Stokes-Einstein Relation at Moderate Schmidt Number
arXiv:1309.7361 · doi:10.1063/1.4834696
Abstract
The Stokes-Einstein relation for the self-diffusion coefficient of a spherical particle suspended in an incompressible fluid is an asymptotic result in the limit of large Schmidt number, that is, when momentum diffuses much faster than the particle. When the Schmidt number is moderate, which happens in most particle methods for hydrodynamics, deviations from the Stokes-Einstein prediction are expected. We study these corrections computationally using a recently-developed minimally-resolved method for coupling particles to an incompressible fluctuating fluid in both two and three dimensions. We find that for moderate Schmidt numbers the diffusion coefficient is reduced relative to the Stokes-Einstein prediction by an amount inversely proportional to the Schmidt number in both two and three dimensions. We find, however, that the Einstein formula is obeyed at all Schmidt numbers, consistent with linear response theory. The numerical data is in good agreement with an approximate self-consistent theory, which can be used to estimate finite-Schmidt number corrections in a variety of methods. Our results indicate that the corrections to the Stokes-Einstein formula come primarily from the fact that the particle itself diffuses together with the momentum. Our study separates effects coming from corrections to no-slip hydrodynamics from those of finite separation of time scales, allowing for a better understanding of widely observed deviations from the Stokes-Einstein prediction in particle methods such as molecular dynamics.
Submitted
References in corpus (7)
- Lattice Boltzmann simulations of soft matter systems
- Multi-Particle Collision Dynamics -- a Particle-Based Mesoscale Simulation Approach to the Hydrodynamics of Complex Fluids
- Inertial Coupling Method for particles in an incompressible fluctuating fluid
- Long Time Tail of the Velocity Autocorrelation Function in a Two-Dimensional Moderately Dense Hard Disk Fluid
- Stochastic Hard-Sphere Dynamics for Hydrodynamics of Non-Ideal Fluids
- A Minimally-Resolved Immersed Boundary Model for Reaction-Diffusion Problems
- Systematic Stochastic Reduction of Inertial Fluid-Structure Interactions subject to Thermal Fluctuations
Cited by in corpus (19)
- Molecular hydrodynamics from memory kernels
- Brownian Dynamics of Confined Rigid Bodies
- A reversible mesoscopic model of diffusion in liquids: from giant fluctuations to Fick's law
- Brownian Dynamics without Green's Functions
- Leveraging Collective Effects in Externally Driven Colloidal Suspensions: Experiments and Simulations
- Inertial Coupling Method for particles in an incompressible fluctuating fluid
- The Raspberry Model for Hydrodynamic Interactions Revisited. I. Periodic Arrays of Spheres and Dumbbells
- A Microscopic Model of the Stokes-Einstein Relation in Arbitrary Dimension
- Coupling a nano-particle with isothermal fluctuating hydrodynamics: Coarse-graining from microscopic to mesoscopic dynamics
- A multiblob approach to colloidal hydrodynamics with inherent lubrication
- Molecular hydrodynamic theory of the velocity autocorrelation function
- A Discrete Ion Stochastic Continuum Overdamped Solvent Algorithm for Modeling Electrolytes
- Hydrodynamic fluctuations in quasi-two dimensional diffusion
- Influence of the vessel wall geometry on the wall-induced migration of red blood cells
- Computational modelling of passive transport of functionalized nanoparticles
- Unraveling Internal Friction in a Coarse-Grained Protein Model
- Mass changes the diffusion coefficient of particles with ligand-receptor contacts in the overdamped limit
- Atomistic mechanisms of viscosity in 2D liquid-like fluids
- Enhanced molecular diffusion near a soft fluctuating membrane