Summer School on Multiscale
Modeling and Simulation in Science
Bosön, Stockholm
June 4-15, 2007
Participating Lecturers and Supervisors :
Jørg Aarnes, SINTEF, Oslo
Tom Abel, Stanford University
Hans Ågren, KTH
Lennart Bengtsson, Max Planck Institut für
Meteorologie, Hamburg
Axel Brandenburg, Nordita, Stockholm
Erik Deumens, University of Florida, Gainesville
Björn Engquist, KTH and University of Texas, Austin
Erland Källén, Stockholm University
Yannis Kevrekidis, Princeton University
Heinz-Otto Kreiss, KTH
James Lambers, Stanford University
Claude LeBris, École Nationale des Ponts et
Chaussées, Marne la Vallée
Garrelt Mellema, Stockholm University
Yngve Öhrn, University of Florida, Gainesville
Eva Pavarini, Forschungszentrum Jülich, Jülich
Olof Runborg, KTH
Richard Tsai, University of Texas, Austin
Lexing Ying, University of Texas, Austin
Peter Zahn, Martin-Luther-Universität, Halle/Wittenberg
Jørg Aarnes, SINTEF, Oslo
Tom Abel, Stanford University
Hans Ågren, KTH
Lennart Bengtsson, Max Planck Institut für Meteorologie, Hamburg
Axel Brandenburg, Nordita, Stockholm
Erik Deumens, University of Florida, Gainesville
Björn Engquist, KTH and University of Texas, Austin
Erland Källén, Stockholm University
Yannis Kevrekidis, Princeton University
Heinz-Otto Kreiss, KTH
James Lambers, Stanford University
Claude LeBris, École Nationale des Ponts et Chaussées, Marne la Vallée
Garrelt Mellema, Stockholm University
Yngve Öhrn, University of Florida, Gainesville
Eva Pavarini, Forschungszentrum Jülich, Jülich
Olof Runborg, KTH
Richard Tsai, University of Texas, Austin
Lexing Ying, University of Texas, Austin
Peter Zahn, Martin-Luther-Universität, Halle/Wittenberg
The purpose of the summer school is to bring together leading scientists in computational physics, computational chemistry and computational biology and in scientific computing with PhD students in these fields to solve problems with multiple scales of research interest.
Lectures on computational multiscale techniques will be presented in the first week.
The afternoons are devoted to the solution of computational exercises in small groups.
Cross-disciplinary and challenging problems will be given by experts in
the second week of the summer school. Groups
of students and the experts will work together on the solution of the problems.
PhD students can receive credit for the summer school at their home departments.
The summer school is intended for PhD students in applied mathematics, numerical
analysis, scientific computing, computational physics, computational chemistry
and compuational biology.
Students affiliated with a university in Finland, Norway, and Sweden are encouraged to apply for a scholarship to cover the expenses at the summer school.
Organizers
Department of Numerical Analysis and Computer Science (NADA)KTH
Department of Information Technology
Centre for Dynamical Processes (CDP)
Uppsala University (UU)
Sponsors
Support is received from the National Graduate School in Scientific Computing (NGSSC), Swedish Foundation for Strategic Research (SSF), Centre for Dynamical Processes and Structure Formation (CDP), Nordita, NordForsk, Research Council of Norway, and Comsol.
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