To: chemistry-request at ccl.net

Date: Fri Jan 13 19:51:00 2006

Subject: 06.03.06 37th IFF Spring School , Computational Methods in Condensed Matter Physics, Jlich . Germany

37th IFF Spring School Computational Methods in Condensed Matter Physics http://www.fz-juelich.de/iff/fs2006 March 6 - 17, 2006 . Jlich . Germany The IFF Spring School 2006 will address modern computational approaches to condensed matter physics at a graduate student level. Introductory lectures will build the basis for the understanding of the major theoretical methods and the phenomena they are meant to describe. More advanced lectures will address practical aspects of the methods and demonstrate how computer simulations contribute to our understanding of physics. Highlighting exemplary applications will lead the audience from the basic numerical methods to the frontiers of current research. The topics of the lectures cover: * Simulations of Quantum Systems * Density Functional Theory * Correlated Electrons * Quantum Computing * Complex Materials * Supercomputing * Mesoscopic Hydrodynamics * Monte Carlo Simulations * Biophysics * Soft Matter * Pattern Formation * Friction & Fracture Overview linie During the last decades we have witnessed dramatic advances in the simulation of physical systems on the computer. This is partly due to an impressive growth in computer power. Equally or even more important, however, has been the outstanding progress in the development of new theoretical concepts and computational methods: In the simulation of condensed matter systems, the main challenge is to find models, which capture the essential physics of the real material, while still being susceptible to an efficient treatment on a computer. As a result, we are now seeing more and more areas of condensed matter physics, where computer simulations achieve predictive power. Hence, they are becoming increasingly important in identifying or designing new materials with fascinating and advantageous properties. Thus computer simulations are now an essential tool in nanoscience, materials science, chemistry, and even biology. The important challenges in these fields are: * Many characteristic properties of transition-metal oxides, nanostructures, and organic crystals are due to the strong repulsion between the electrons. An important focus of current research is the development of new methods for an efficient simulation of this quantum mechanical many-body problem. * In Soft Matter Science - which studies the behavior of polymer solutions and melts, membranes, colloidal suspensions, and biological macromolecules - simulation methods have to be developed which bridge the large length- and time-scale gap between the atomistic scale of the solvent molecules and the mesoscopic scale of the embedded macromolecules. * A similar problem occurs in the investigation of macroscopic properties. The elementary processes often happen on the atomic scale, which is separated by many orders of magnitude from the macroscopic lengths and times of day-to-day experience, as in solidification patterns of high-performance materials or earthquake rupture. Multi-scale simulation techniques have to be developed in order to tackle this problem. * The basic idea of quantum computing is to use linear operations in Hilbert space to perform massively parallel calculations. While no quantum computer of any substantial size has yet been built, quantum computing holds the promise of a qualitatively new way of simulating physical systems.

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