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Computational Science

Computational Science – Prof. dr. S.A. van Gils

Masters involved: Applied Mathematics, Applied Physics, Chemical Engineering and Mechanical Engineering
Contributing Institutes: IMPACT and MIRA

During the past decades Computational Science has become an increasingly important component in understanding and controlling the key mechanisms in the natural-, biological- and technical sciences. This field of research consists of the combination of mathematical and physical modeling and analysis, large-scale simulation and the development and application of accurate high-performance computational algorithms. Future challenges in Computational Science concern the development and analysis of methods in which physical, chemical and biological processes at a wide range of length- and time-scales are simultaneously and consistently integrated.


The Computational Science programme will provide the academic context for successful researchers in its multi-disciplinary field, combining aspects of mathematics, physics, chemistry, mechanics and computer science. Many of the applications require a deep understanding of nonlinear phenomena, their interactions at various scales and sensitivity of model predictions. That line of issues will also be reflected in the design of the program, with full embedding in the MSc courses of Applied Mathematics, Applied Physics, Chemical Engineering and Mechanical Engineering.

The main challenges to teaching and research in the Computational Science program are:

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to arrive at a systematic ‘first principles’ approach to modeling, simulation, analysis and control of complex nonlinear dynamic behavior, with particular attention to problems evolving on many length- and time-scales simultaneously;

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to include and interpret the full variety of interacting physical mechanisms that govern the multiple physical processes that take place, as well as their coarsened approximations in heterogeneous multiscale formulations;

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to achieve leading capability in high-performance computing and highly accurate numerical methods;

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to apply computational modeling methods to multi-disciplinary problems of factual practical relevance, linked to a variety of problems and applications in the natural-, biological- and technical sciences and in engineering.

Teaching and training of the students will integrate key courses from the contributing MSc tracks to provide a solid basis for a successful research attitude.