Research
- research themes
- research groups
- Algorithms and Complexity
- Computational Dynamics
- Cryptology
- Database Architectures
- Distributed and Interactive Systems
- Formal Methods
- Information Access
- Intelligent Systems
- Life Sciences
- Multiscale Dynamics
- Networks and Optimization
- Scientific Computing
- Software Analysis and Transformation
- Stochastics
- research staff
- In brief
CWI Computational Science Platform
Computational science is a burgeoning multidisciplinary field in which advanced computing capabilities are used to understand and solve complex problems. As a methodology, computational science is seen as the "third way" in science, allowing researchers to address questions that are largely inaccessible to experimental or theoretical investigations.
CWI is active in several areas of computational science, ranging from modelling multiscale phenomena and simulating complex systems, over advanced numerical algorithms and decentralized discrete strategies, to system software and data management. (For a more comprehensive list of computational science topics, see e.g. the PITAC Report.)
CWI is currently setting up a platform to interlink its activities in computational science and open them up to the larger research community. This platform is organising a seminar series as well as regular meetings.
Computational science related activities at CWI
Methodologies
Scientific Computing
- Multiscale modelling and model reduction
- Hybrid computations: coupling particle and fluid models
- Adaptive grid refinement and multigrid
- Subgrid scale modelling
- Stochastic modelling of data
- Numerical Analysis
- Parallelization
Intelligent Systems
- Computational intelligence
- Simulations of multi-agent systems
- Machine learning: model selection, similarity analysis, sequential prediction
- Computational semantics
- Computational models for cognitive processes
Applications
Models for Physical and Biological Processes
- Sparks and lightning, plasma technology
- Numerical weather predicitons and climate simulation
- Computational Fluid Dynamics
- Computational biology
Models for Societal and Organizational Processes
- Simulation, optimization and stochastic modelling in logistics
- Simulation of (electronic) markets
- Computational economics and computational finance
- Coordinated composition of services and workflows, e.g in virtual laboratories
External Links
- Computational Science: Ensuring America's Competitiveness. Report by the President's Information Technology Advisory Committee (PITAC), June 2005.
