Applications of Computational Science
Applications of Computational Science
Computational Science research driven by applications
Science is all about describing and understanding the world around us, where our approach is through the third paradigm of science. Such endeavor can only be truly successful if computational scientists strongly collaborate with their colleagues in the labs. Many exiting and very relevant research questions abound on the boundaries between scientific disciplines. Our philosophy is to establish strong collaborations with research groups that work in specific application areas, to form multi-disciplinary teams of computational scientists and domain experts, so as to push forward boundaries of our knowledge in a mutually beneficial way. Applications drive our Computational Science research forward, which in turn will have a strong impact in the application fields. Besides our expertise in core Computational Science, our group holds a
large variety of domain knowledge, ranging from Biology to Finance. We
have established a
number of long lasting strategic collaborations in fields where
modeling and
simulation is currently emerging (infectious diseases, biomedical applications,
and systems biology) and intend to focus our research collaborations in
those
application fields. Moreover, we have a strong track record in fields
where computing already is a more widespread research methodology, such
as in Physics and Engineering.
Our research in Applications of Computational Science is clustered around four areas listed below.
The core of the research for the next five years combines this application driven modeling and simulation with research on problem solving environments and advanced scientific visualization. Moreover, we intend to further strengthen collaboration with ‘data producers’ and/or ‘data owners’. All our research will be data-driven, even to the point that we start collecting data ourselves (e.g. harvesting from on-line resources).
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Computational Physics
- Applications in (bio)physics
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Computational Biology
- Computational biology and systems biology
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Computational Biomedicine
- We apply Computational Science in fields ranging from Virology, to Cancer and Cardiovascular Diseases.
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Computational Finance
- In today's financial markets derivatives on different underlying assets and with complex payoffs are traded in huge volumes. Computational finance, generally referring to the application of computational techniques to finance, has become an integral part of modeling, analysis, and decision-making in the financial industry.
SCS colloquium: N. Javaheri
De rekenregels van de natuur
