Scientific Computing (SC)

Main research interest

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. The group combines research in:

  • Discretization methods: finite elements, finite volumes, finite differences, boundary element methods
  • Methods for nonlinear problems: Newton's method and related methods
  • Model order reduction
  • Mimetic discretizations
  • Generalized Krylov methods
  • Smoothed particle hydrodynamics

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.