Credible high-fidelity data-driven models

Credible high-fidelity data-driven models2018-07-11T09:45:21+00:00

The group focuses on methodologies combining

  • high-fidelity simulations: high-order approximations (in particular HDG formulations) with exact geometrical descriptions (NEFEM),
  • reduced order models (viz. PGD) for generalized parametric solutions,
  • data assimilation and data-driven models,
  • uncertainty quantification and model updating for reliable simulations with goal-oriented error assessment and adaptivity.

These methodologies aim at solving challenging problems in different applications fields:

  • Engineering design: flow and wave problems, drag and lift automotive optimization, aeroacoustics, …
  • Manufacturing processes: real-time simulation with data assimilation.
  • Architectured materials: parametric micro structures for macro properties.
  • Patient-specific modeling and simulation

Selected Publications

Thesis