[grads] [Sem-coll] Special Applied Math Seminar today: Feb 4, Wed, at 4:40pm, Rm106, E1

J Duan duan at iit.edu
Wed Feb 4 09:58:25 CST 2009

> Stochastic & Multiscale Modeling Seminar
> Wednesday, February 4
> E1 106 4:40 pm
> Guowei He
> Institute of Mechanics, Chinese Academy of Sciences
> "A Hybrid Simulation of Continuum and Molecular Dynamics for
> Super-Hydrophobics"
> Abstract:
> Micro- and nano-fluidics involve a broad range of scales from the
> atomic scales to the continuum ones. A full molecular dynamics
> simulation is able to simulate the fluid flows at the micro- and
> nano-scales. However, it is computationally prohibitive due to the
> limitation of computer memory and computation time. On the other hand,
> a full continuum description, such as the Navier-Stokes equation, is
> computationally available but unable to describe the fluid flows in
> the region where the continuum assumption breaks down. A kind of those
> problems is the superhydrophobics: the patterned roughness on a
> hydrophobic solid surface enhances its hydrophobics and yields a large
> slip velocity at the solid surfaces. The superhydrophobics property is
> particularly attractive, since it may provide an efficient method for
> mass transport and drag reduction in micro- and nao-fluidics. An
> appropriate approach to simulate the superhydrophobics is to use the
> molecular dynamics in one region where the continuum assumption breaks
> down and use the Navier-Stokes equations in another region where the
> continuum assumption holds true, and those two descriptions are
> coupled in the overlap region. The computation time in the hybrid
> method is expected to be much less than that in the full molecular
> dynamics simulation. The challenge is how to couple the Navier-Stokes
> equations with the molecular dynamics simulation. In this talk, I will
> introduce our recent work on the dynamic coupling model for the hybrid
> computation and use the hybrid simulation to study superhydrophobics.
> The numerical issue associated with the hybrid method will be
> discussed.

Professor Jinqiao Duan
Department of Applied Mathematics
Illinois Institute of Technology
Chicago, IL 60616, USA
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