Workshops > NID10

Non-equilibrium Interface and Surface Dynamics:
Theory, Experiment and Simulation from Atomistic to Continuum Scales

 October 25-28, 2010

CSIC Building (#406), Seminar Room 4122.

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Name Affiliation Email
Theodore L. Einstein University of Maryland, Department of Physics
James W. Evans Iowa State University, Mathematics & Ames Lab.
Dionisios Margetis University of Maryland, CSCAMM, Mathematics & IPST
Raymond Phaneuf University of Maryland, Department of Materials Science and Engineering
John D. Weeks University of Maryland, IPST and Chemistry



The scientific understanding of nonequilibrium surface and interface dynamics in crystalline materials and composites continues to grow in importance.

Technologically, nanoscale assemblies with highly ordered nanoscale building blocks such as quantum dots and nanowires have shown remarkable optical, electronic, magnetic, and mechanical properties that have a wide range of applications. However, such nanoscale building blocks must be fabricated on a surface or through an interface, and these processes are usually far from equilibrium. Scientifically, as sizes decrease, interfacial properties become crucial or even dominant. Furthermore, theories for surfaces and interfaces of bulk materials must be reworked for surfaces and interfaces in nanoscale systems.

Dynamical surface properties of crystals, such as fluctuations, nucleation, coarsening, self-organization, and mass and charge transport, are often very complex. There exists no single theory or model that can predict all such properties or the remarkable emergent features being discovered. Experiments have provided observations and data that can guide and stimulate theoretical inquiries. Theories and simulation tools have to be developed to treat surface properties distinguished by multiple length and time scales. Much effort has been made in: (a) novel experimental techniques to probe surface properties at the nanoscale, and (b) analytical studies using approaches ranging from first-principles calculations and kinetic Monte Carlo simulations to coarse-grained continuum models. Theoretical descriptions at different scales must be reconciled, and their relation to experimental observations must be studied in detail.

The past several years have witnessed the important role of applied mathematics in research on surface dynamics. Contributions from applied mathematics include: formulation and rigorous analysis of deterministic and stochastic, discrete and continuous, models; multiscale analysis; model reduction; and the design of computational techniques for very large systems. It is clear that this trend will continue. Precise mathematical concepts and theories, along with innovative simulation techniques, should continue to be developed for interfacial and surface properties in complex systems.

At the same time experimental techniques become more advanced. The motion of small defects can now be monitored quite precisely. The role of such defects, singly or collectively, in the macroscopic evolution of surfaces and interfaces can be demonstrated in the laboratory setting.

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This program will bring together leading physicists, materials scientists, computational scientists, and applied mathematicians to: review the recent developments in research on materials surfaces and interfaces, from experimental highlights to theory to simulation; identify critical scientific issues in the understanding of the fundamental principles and basic mechanisms of interface and surface dynamics in crystalline systems far from equilibrium; accelerate the interaction of applied mathematics with physics and materials science, and promote highly interdisciplinary research on new materials interface and surface problems with emerging novel applications; develop and foster international collaborations; and initiate the training of research task force for the grand challenge in nanoscience. This is the third CSCAMM workshop on this topic, following our Fall 2003 and Spring 2007 meetings.

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Name Affiliation
Raymond A. Adomaitis University of Maryland
Norman Bartelt Sandia National Laboratories
Arvind Baskaran University of California, Irvine
Theodore L. Einstein University of Maryland
Jonah Erlebacher Johns Hopkins University
James W. Evans Iowa State University
Kristen A. Fichthorn Penn State University
Thomas Frisch Université Paul Cézanne, CNRS
Diego L. Gonzalez University of Maryland
Manoussos Grillakis University of Maryland
Melissa A. Hines Cornell University
David Kinderlehrer Carnegie Mellon University
Robert V. Kohn New York University
Haiping Lan University Of Tennessee
Chuan-Fu Lin University of Maryland
Feng Liu University of Utah
Dionisios Margetis University of Maryland
Jeremy L. Marzuola University of North Carolina, Chapel Hill
Chaouqi Misbah Université Joseph Fourier Grenoble I and CNRS
Xiaobin Niu University of Utah
Taisuke Ohta Sandia National Laboratories
Raymond Phaneuf University of Maryland
Olivier Pierre-Louis Université Claude Bernard Lyon 1
Christian Ratsch University of California, Los Angeles
Janice Reutt-Robey University of Maryland
Gregory S. Rohrer Carnegie Mellon University
Peter Smereka University of Michigan
Herbert Spohn Technische Universität München
Eitan Tadmor University of Maryland
Jerry Tersoff IBM Research
Makio Uwaha Nagoya University
James A. Warren National Institute of Standards and Technology
Jonathan Weare University of Chicago
John D. Weeks University of Maryland
Zhenyu Zhang Oak Ridge National Laboratory

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A limited amount of funding for participants at all levels is available, especially for researchers in the early stages of their career who want to attend the full workshop.

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CSCAMM Visitor Guide:


Center for Scientific Computation And Mathematical Modeling (CSCAMM)
Computer Science Instructional Center (Building #406)
University of Maryland, College Park
College Park, MD 20742-3289




Poster is available for download here.


Photos will be made available.


Partial funding is provided by the Materials Research Science and Engineering Center (MRSEC), Center for Nanophysics and Advanced Materials (CNAM), and the University of Maryland Nanocenter.

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