Scientific Computing is a fast-growing, highly interdisciplinary field that brings together methods from numerical analysis, high-performance computing and various application fields. It is the area of research that provides better simulation tools aimed at many different applications.

Providing better simulation tools for a wide range of different applications.

Scientific Computing is a fast-growing, highly interdisciplinary field that brings together methods from numerical analysis, high-performance computing and various application fields. It is the area of research that provides better simulation tools aimed at many different applications.

Many of our current application areas are energy-related:

• Wind-turbine and wind-farm aerodynamics,
• Tokamak magnetohydrodynamics,
• Plasma-assisted combustion,
• Battery technologies,
• Porous media flows,
• Electronic circuits,
• Bio-fuels,
• Lighting.

Other application areas to which our research is directed are:

• Fluid-structure interactions,
• Hypervelocity impacts,
• Shape optimization.

Numerical methods on which we currently do research:

• Symplectic time-integration methods,
• Physics-compatible finite-volume methods (exponential schemes, multi-D upwind schemes, limiters, ...),
• Generalized Krylov methods,
• Evolutionary design algorithms.