The department Modeling and Simulation of Complex Processes develops efficient modelling, simulation, and optimization tools and algorithms for challenging application problems from medicine, systems biology, and molecular dynamics as well as nanophotonics and humanities. Based on tight collaboration with application partners from industry and academia, the department aims not only at generating scientific insight, but also at providing software prototypes and demonstrators for specific solutions.
For these, we develop adaptive algorithms in the areas of finite elements, agent-based models, conformation dynamics, stochastic and hybrid simulation, optimal control, and parameter estimation, exploiting multi-level structures for efficiency and robustness. With increasing complexity of the applications, techniques for multi-scale, multi-physics and hybrid models play a more and more important role, as do stochastic aspects, uncertainty quantification, machine learning, and design tasks.
Research Groups
Group heads of the MSCP department
Software
KASKADE 7
Flexible C++ library for solving PDE systems with finite elements.
Contact: Martin Weiser (weiser@zib.de)
JCMsuite
Programme package containing a finite element solver for computation of solutions to electromagnetic wave propagation, continuum mechanics, and heat conduction problems, including also machine learning based optimization methods.
Contact: Sven Burger (burger@zib.de)
