Abstracts
Plenary Speakers
- T. Hou, Applied and Computational Mathematics, Caltech.
- R. LeVeque, Department of Applied Mathematics, University of Washington.
- S. Osher, Department of Mathematics, UCLA.
- J. Ralston, Department of Mathematics, UCLA.
- C.-W. Shu, Division of Applied Mathematics, Brown University.
- M. Weinstein, Department of Applied Physics and Applied Mathematics, Columbia University.
Invited Speakers
- S. Jin, Department of Mathematics, University of Wisconsin
- C.-Y. Kao, Department of Mathematics, Ohio State University
- K. Mercure, Dow Chemical Company
- J. Rossmanith, Department of Mathematics, University of Wisconsin
- J. Shen, Department of Mathematics, Purdue University
- P. Smereka, Department of Mathematics, University of Michigan
- K. Solna, Department of Mathematics, University of California Irvine
- F. Triki, Universite Joseph Fourier, France
- J. L. Vay, Lawrence Berkeley National Laboratory
- D. Vvedensky, Imperial College, U.K.
- H. K. Zhao, Dept of Mathematics, University of California Irvine
- Jun Zou, Dept of Mathematics, The Chinese University of Hong Kong
Abstracts
Title:
Multiscale computations for flow and transport in heterogeneous porous media
Speaker: Tom Hou, CalTech
Abstract:
Many problems of fundamental and practical importance contain multiple scale
solutions. Composite materials, flow and transport in heterogeneous porous
media, and turbulent flow are examples of this type. Direct numerical
simulations of these multiscale problems are extremely difficult due to the
wide range of length scales in the underlying physical problems. In this talk,
I describe some of our recent efforts in developing multiscale computational
methods to upscale two-phase flows in strongly heterogeneous porous media.
For some challenging problems with long range scale interaction arising from
engineering applications, we show how to use limited global information to
improve the accuracy of the multiscale method. Another important application
is how to quantify uncertainty in modeling the heterogeneous random media.
We show that by using a coarse multiscale model to precondition the Markov
Chain Monte Carlo method, we can significantly improve the efficiency of the
MCMC method in generating the probability distribution of the random media
subject to some production data. Finally, we introduce a multiscale method
for convection dominated incompressible flow with multiscale solutions.
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Title: Coherent semiclassical transport models for thin quantum barriers
Speaker: Shi Jin, University of Wisconsin-Madison
Abstract:
We present time-dependent semiclassical transport models for
mixed state scattering with thin quantum barriers. The idea is
to use a multiscale approach to connect regions for which
a classical description of the system dynamics is valid across
regions for which the classical description fails, such as when
the gradient of the potential is undefined. We do this by first
solving a stationary Schrodinger equation in the quantum region
to obtain the scattering coefficients. These coefficients allow
us to build the interface condition to the particle flux,
that bridges the quantum region, connecting two classical regions.
Away from the barrier, the problem may be solved by traditional
numerical methods. The overall numerical cost is roughly the
same as solving a classical barrier.
By using quantum scattering data and complex Liouville equations we
are even able to handle wave interferences across the barrier.
This is a joint work with Kyle Novak.
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Title: Shape Optimization for Elliptic Eigenvalue Problems
Speaker: Chiu-Yen Kao, Department of Mathematics, Ohio State University
Abstract:
Identification or optimization of shapes arises in many science
and engineering applications. In this talk, we focus on the optimal shape
design related to elliptic eigenvalue problems. Specific applications for
identifying structures of photonic crystal, optimization of quality factor
of an acoustic resonator, and determining the optimal spatial arrangement
of favorable and unfavorable regions for a species to survive will be
discussed.
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Title: Shock Wave Propagation in Tissue and Bone
Speaker: Prof. Randall J. LeVeque,
Department of Applied Mathematics, University of Washington
Abstract:
Studying the physical and biological mechanisms of extracorporeal
shock wave therapy (ESWT) requires modeling the propagation of strong
shock waves through tissue and bone. Interfaces between different
biological materials lead to reflections and focusing of shock waves
and the creation of strong rarefaction zones and cavitation fields.
I will discuss recent numerical work using high-resolution finite
volume methods in which each grid cell is allowed to have distinct material properties. Sharp interfaces either occur at cell edges (if an
appropriate geometry-conforming grid can be obtained) or are represented
by averaging the material properties over grid cells on a Cartesian grid.
In either case, logically rectangular grids with adaptive mesh refinement
are used to efficiently deal with multiscale problems where the medium has
heterogeneities at various length scales.
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Title: The Ebb & Flow of Multi-scale Modeling at The Dow Chemical
Company
Speaker: Dr. P. Kip Mercure,
Engineering & Process Sciences,
The Dow Chemical Company
Abstract:
Multi-scale modeling is an ongoing effort at The Dow Chemical
Company, and it has had periods of increasing and decreasing utility.
Three major areas of application will be described: polymer property prediction, meta-material design, and process modeling. The systems
described must bridge spatial scales from atomic dimensions to the
inside diameters of pipes, and time scales from control system actions
in seconds to plant time constants of days. For each area, the
complexity tradeoffs for effective use will be described. The utility
of multi-scale modeling in industry has changed over time as various techniques demonstrate commercial utility or not. Some of the drivers
for commercial interest will be described in the context of present and
possible future products.
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Title: New Algorithms in Information Science
Speaker: Stan Osher, Department of Mathematics, UCLA.
Abstract:
The past few years have seen an incredible explosion of
new (or revival of old) fast and effective algorithms for various
imaging and information science applications. These include:
nonlocal means, compressive sensing, graph cuts, Bregman iteration,
as well as relatively old favorites such as the level set method and
PDE based image restoration. I'll give my view of where we are,
hopefully giving credit to all the creators of these new
and exciting multiscale techniques.
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Title: Applications of Gaussian Beams
Speaker: James Ralston, Department of Mathematics, UCLA
Abstract:
Gaussian beams are asymptotic solutions to high frequency wave
propagation problems that are localized near a single ray path in
space-time. Superpositions of these beams are useful in approximating
the behavior of solutions near places where rays focus such as caustics.
I will discuss this method and some recent applications.
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Title: Discontinuous Galerkin Methods for MHD, Two-Fluid Plasma, and Beyond
Speaker: James Rossmanith,
Department of Mathematics,
University of Wisconsin - Madison
Abstract:
The solar wind can be largely viewed as a collisionless
plasma, and in most circumstances, it can be modeled using
the magnetohydrodynamic (MHD) equations. After briefly
describing this model, we will present a discontinuous
Galerkin (DG) method for numerically solving it. An important
aspect of this work is the treatment of the divergence-free
condition on the magnetic field. We will then show how
the MHD equations can fail to produce physically correct
results in the case of magnetic reconnection. A more accurate
physical model, the two-fluid system, is then introduced.
We will argue that the computational expense of solving the two-fluid
equations is significantly higher than that of MHD. Finally,
we will describe efforts to develop a multiscale method for
coupling the MHD and two-fluid models.
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Title: A New Spectral-Galerkin Method for High-Dimensional PDEs:
Algorithms, Analysis and Applications
Speaker: Jie Shen, Department of Mathematics, Purdue University
Abstract:
Many scientific, engineering and financial applications require
solving high-dimensional PDEs. However, traditional tensor product
based algorithms suffer from the so called "curse of dimensionality".
We shall present a new Chebyshev-Galerkin method for non-periodic
problems and/or in the whole space. The method is based on two
basic ingredients: (i) Choosing the frequencies of the trial functions
from the "hyperbolic cross"; (ii) Using a lattice rule or sparse grid
to perform the numerical integration. It is shown that with this combination,
the "curse of dimensionality" can be broken to some extent.
We shall present rigorous error estimates and numerical results
supporting this statement.
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Title: Multiscale Methods Based on the Discontinuous Galerkin Scheme
Speaker: Chi-Wang Shu, Division of Applied Mathematics, Brown University
Abstract:
We present two multiscale methods based on the discontinuous Galerkin
finite element scheme. The first method uses the heterogeneous multiscale
method (HMM) framework, for the numerical simulation of dynamics of
crystalline solids. The method couples nonlinear elastodynamics as the continuum
description and molecular dynamics as another component at the atomic scale. The
governing equations on the macroscale are solved by the discontinuous Galerkin
method, which is built up with an appropriate local curl-free space to produce
coherent displacement field. The constitutive data are based on the underlying
atomistic model: it is either calibrated prior to the computation or obtained from
molecular dynamics as the computation proceeds. The decision to use either
the former or the latter is made locally for each cell based on suitable criteria.
This part is a joint work with Wei Wang and Xiantao Li. The second method uses
non-polynomial approximation spaces based on WKB asymptotics, to simulate
the one-dimensional stationary Schrodinger-Poisson problem. The stationary
Schrodinger equation is discretized by the WKB local discontinuous Galerkin
(WKB-LDG) method, and the Poisson potential equation is discretized by the
minimal dissipation LDG (MD-LDG) method. The WKB-LDG method provides a significant
reduction of both the computational cost and memory in solving the Schrodinger
equation. Comparing with traditional continuous finite element Galerkin methodology,
the WKB-LDG method has the advantages of the DG methods including their flexibility
in h-p adaptivity and allowance of complete discontinuity at element interfaces.
A major advantage of the WKB-LDG method is its potential for two-dimensional devices.
This part is a joint work with Wei Wang.
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Title: Rapid Computation of Elastic Energy Differences with Application to Heteropitaxial Growth
Speaker: Prof. Peter Smereka, University of Michigan
Abstract:
When simulating heteropitaxial growth using kinetic Monte Carlo
one needs to compute the elastic energy difference between two
similar configurations a vast number of times. This talk will
describe several tools to allow one to accomplish this efficiently.
A Fourier-multigrid method which allows one rapidly compute the
displacement field for an arbitrary film profile coupled to semi-infinite substrate will be discussed. Next, the principle
of energy localization will be stated which combined with the
expanding box method allows one to accurately compute changes
elastic energy using local calculations. Finally some results
showing the formation of self-assembled stacked quantum dots will be
shown.
This is joint work with Giovanni Russo and Tim Schulze.
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Title : Diffractive optical properties of metallic micro-structures
Speaker: Faouzi Triki, Universite Joseph Fourier, France
Abstract :
In the talk I will present a study of the electromagnetic
diffraction by a perfectly conducting planar interface which contains micro-cavities.
The goal is to understand how cavities smaller than the wavelength
contribute to the enhancement and confinement of electromagnetic
fields. The approach is based on an asymptotic analysis of integral
equations.
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Title: Electromagnetic Particle-In-Cell simulations of plasmas with (Adaptive)
Mesh Refinement. Reduction of the range of scale in a Lorentz boosted frame.
Speaker: Dr. Jean-Luc Vay, Lawrence Berkeley National Lab.
Abstract:
Modeling of systems that involve a wide range of scales in space and/or time
is challenging. The Adaptive Mesh Refinement technique has been applied
successfully to various fields but its applicability to the modeling of
wave propagation has proven difficult. We will discuss the issues in the
context of electromagnetic Particle-In_Cell simulation of plasmas, such
as spurious reflection of waves or self-forces at or near refinement
interfaces. Solutions and examples of applications will be presented.
For the interaction of relativistic species, we have discovered that
the range of space and time scales spanned by the entire system can be
reduced by orders of magnitude if choosing the right Lorentz boosted
frame as the frame of calculation. We will present the finding and its
consequences on the modeling of relativistic systems, and illustrate
by a few examples of application.
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Title: Multiscale Theory of Fluctuating Interfaces
Speaker: Christoph A. Haselwandter and Dimitri D. Vvedensky,
The Blackett Laboratory, Imperial College, London SW7 2BZ
Abstract:
We have developed a general methodology for the multiscale analysis of
atomistic models of fluctuating interfaces. Beginning with an exact
analytic formulation of kinetic Monte Carlo simulations in the form of a
lattice Langevin equation, we derive stochastic partial differential
equations for the smoothed lattice models by regularizing the transition
rules. Subsequent coarse-graining is accomplished by calculating
renormalization-group (RG) trajectories from initial conditions
determined by the regularized atomistic models.
For homoepitaxial growth we derive a general microscopic continuum equation that is applicable to a wide class of lattice models. The RG analysis of this equation shows that the morphological manifestation of a given atomistic relaxation mechanism can depend qualitatively on the length and time scales considered as well as on the dimensionality of the fluctuating interface. Moreover, our analytic theory allows the systematic study of the interplay between different atomistic processes for general experimental input parameters.
We have also used the above ideas to describe the self-organization of
heteroepitaxial nanostructures. Our method produces an equation
similar to that obtained by Golovin et al. from classical elasticity. But there are crucial differences
between our equation and this earlier work. Most important is that the
coefficients in our Langevin equation have a direct relation to the
underlying atomistic processes. Since the transition rates of these
processes can be calculated with density functional methods, we have the
basis for a genuine multiscale description of heteroepitaxial
morphological evolution. Another important difference is the presence of
noise terms that reflect the randomness of the deposition and diffusion
processes. These are central for the quantitative description of the
morphological evolution observed in experiments. On the other hand,
Golovin et al. explicitly include the effect of a wetting layer in their
formulation. This issue remains for further investigation.
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Title: Resonance Problems in Linear and Nonlinear Photonics
Speaker: Michael I. Weinstein, Columbia University
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Title: Grid Based Particle Method For Interface Problems
Speaker: Hong-Kai Zhao, Department of Mathematics, UC Irvine
Abstract:
We develop a particle method based on Eulerian grid for moving interface
problem. In this framework the interface is represented by unconnected
particles and each particle is associated with an underlying grid point for
Eulerian reference. The underlying grid provides a quasi-uniform sampling
and neighborhood information among particles on the interface. The
unconnected particles provide an easy and accurate way to track the motion
of the moving interface. This formulation avoids the requirement for a
nice global parametrization of the interface and can deal with topological
change with control. Adaptivity can also be implemented easily. Extensive
moving interface problems will be tested.
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Title: Some recent advances on identifiability in inverse obstacle scatterings
Speaker: Jun Zou, Dept of Mathematics, The Chinese University of Hong Kong
Abstract:
In this talk we shall review some recent advances on identifiability in inverse
acoustic and electromagnetic obstacle scattering problems. The work was fully supported
by Hong Kong RGC grants (Projects 404105 and 404606).
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