2nd Conference on Multiscale Modeling of Complex Systems (SCALES)
Multi-scale methods are at the heart of modeling and understanding complex systems: Mathematical and algorithmic approaches to determine the behavior of complex systems at different scales, emerging from elementary principles. Methods are broad and interdisciplinary, ranging from bottom-up derivations of effective theories to top-down approaches of statistical machine learning. SCALES is the meeting to discuss the fundamental rules and mechanisms of systems and how their complex and different behaviors emerge at various scales.
Topics emphasize quantitative and predictive models and methods in multiscale modeling, including:
- Multiscale simulations
- Stochastic models and machine Learning
- High-performance computing
- Uncertainty quantification and inverse methods
- Interdisciplinary applications
Invited speakers are:
- Lubomir Banas, Bielefeld University
- Tristan Bereau, Heidelberg University
- Rupert Klein, Free University Berlin
- Matt Knepley, University at Buffalo
- Christian Kühn, Technical University Munich
- Dan Mendels, Technion, Israel
- Mario Ohlberger, Munster University
- Tanja Schilling, Freiburg University
- Patrick Rinke, Technical University Munich
- Sam Stechmann, University of Wisconsin Madison
- Gabriel Stoltz, ENPC, Paris
There will also be a pre-conference Workshop (1 September) for students and young researchers on OpenMP & MPI by Dr. Rolf Rabenseifner (HLRS), which will include lectures and hands-on exercises.