WMCMS 2013 - Workshop on Modeling and Computing Multiscale Systems

Simulation of multiphysics and multiscale systems poses a grand challenge to computational science, with vast applications in chemical engineering, plasma physics, material science, biophysics, aerospace and automotive sectors. Most of the real-life systems involve interactions amongst a wide range of physical phenomena. In addition to that, the time and length scales of the individual processes involved often differ by orders of magnitude. Numerical simulation of these multiphysics and multiscale problems requires development of sophisticated models and methods for their integration, as well as efficient numerical algorithms and advanced computational techniques.
In particular, the multiscale models require large scale computing capabilities as well as dedicated computational strategies, software and services that enable the exploitation of existing and evolving e-infrastructure. This workshop aims to provide a forum for multiscale application modelers, framework developers and experts from the distributed infrastructure communities in order to identify and discuss challenges in and possible solutions for modeling multiscale systems and their execution on distributed e-infrastructure.
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Specific topics include (but are not limited to):
-- Modeling of multiphysics and/or multiscale systems. Of particular interest are: Monte Carlo methods, particle-based methods, mesoscopic models such as cellular-automata, lattice gas and lattice-Boltzmann methods, computational fluid dynamics and computational solid mechanics;
-- Multiphysics and/or multiscale modeling of biological or biomedical systems. This includes computational models of tissue- and organo-genesis, tumor growth, blood vessels formation and interaction with the hosting tissue, biochemical transport and signaling, biomedical simulations for surgical planning, etc.
-- Novel approaches to combine different models and scales in one problem solution;
-- Challenging applications in industry and academia, e.g. time-dependent 3D systems, multiphase flows, fluid-structure interaction, chemical engineering, plasma physics, material science, biophysics, automotive industry, etc.;
-- Advanced numerical methods for solving multiphysics multiscale problems;
-- Challenging multiscale applications in industry and academia from different communities;
-- Environments and frameworks for simulation of multiscale models;
-- Cloud-based support for multiscale computing;
-- e-infrastructure for distributed multiscale computing (computing, storage, networking);
-- dedicated services required for distributed multiscale computing;
http://www.computationalscience.nl/MCMS2013/