Area Modeling of Complex Systems Under Uncertainty

Gaussian Process

The professorship for “Modeling of Complex Systems under Uncertainty in Mobility” (MuU) develops new computational methods and models for complex engineering problems, with a focus on mobility applications. The work centers on uncertainty quantification using stochastic, statistical and surrogate modeling at the interface of engineering models and data. Our aim is to apply advanced mathematical methods to relevant real-world scenarios.

 

Current research areas

  • Design and optimization und uncertainty for coupled problems
  • Bayesian inverse material modeling with full-field data
  • Statistical Finite Element and Reduced Order modeling
  • Adaptive surrogate modeling, with Gaussian processes in particular
  • Model error estimation

Fields of application

  • Automotive and aerospace engineering
  • Vibroacoustics
  • Solid and geomechanics, phase field models
  • Carnot batteries and molecular simulations

Members

Ulrich Römer
Julius Schultz
Lucas Hermann
Lars de Jong
Susanna Baars
Hazem Yaghi
Leonard Schnelting
Wilhelm
Wilhelm Großmann (extern)
Portrait_Platzhalter
Robin Saam (extern)