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Computational Sciences and Engineering

Computational Sciences and Engineering

We are seven dedicated permanent reserachers together with several PhDs and postdocs with a vision "Mathematics for a better society" and an ultimate mission to "bridge the gap between high fidelity numerical simulations and real-world applications". To this end, we aim to be a market leader in providing comprehensive, validated and cost-effective solutions in following broad areas:

Numerical Modeling

  • Discretization: Finite elements (FEM), finite volumes (FVM), Discrete Element models (DEM) and isogeometric analysis.
  • Adaptive refinement methods using error estimation and local refinement.
  • High performance computing (HPC): Iterative methods and parallel algorithms for solving large-scale systems in a reasonable timeframe.

Physical Modeling
Much of our work in physical modeling revolves around fluid and solid mechanics, as well as coupled problems. - Fluid mechanics: Computational fluid dynamics (CFD), multiphase flows, multiscale problems, turbulence modeling and microfluidics.

  • Solid mechanics: Thin wall structures, nonlinear elasticity and dynamic problems.
  • Coupled problems: Poroelasticity, Thermoelasticity, fluid-structure
    interaction (FSI) and fracture propagation.

Engineering models

  • Parameterization: Homogenization
  • Reduced Order Modelling: Based on POD, SVD, Real time simulators
  • Dimensional reduction: Strip theory, BEM

Data Analysis

  • Time series analysis: FFT, EMD, Wavelets
  • Multivariate Data Analysis: PCA
  • Post-processing: POD, SVD
  • Machine Learning

Application Area

Expertise

Software

Projects