Model Reduction and Surrogate Modeling (MORE)

19-23 Sep 2022 Berlin (Germany)

Berlin panorama A_Peach, CC BY 2.0, via Wikimedia Commons

Overview

The conference merges activities of the two independent conference series MoRePaS and MODRED. The goal is to foster an international exchange of new concepts and ideas related to the following topics:

  • Parametric model order reduction
  • System-theoretic model reduction methods and frequency-domain methods
  • Data-driven approaches
  • Non-intrusive model order reduction
  • Machine learning/deep learning and model order reduction
  • Tensor methods
  • Kernel methods for nonlinear MOR
  • MOR for problems with poor Kolmogorov N-width decay (e.g. transport phenomena)
  • Structure-preserving and energy-based MOR (e.g. Hamiltonian or port-Hamiltonian systems)
  • Nonlinear model reduction
  • Localized MOR and multi-scale problems
  • Randomized algorithms
  • High dimensional parameter spaces and reduction in parameter space
  • Dynamic and adaptive approximations, error estimation
  • Multifidelity methods
  • MOR for uncertainty quantification
  • Model reduction for nonlinear bifurcating PDEs
  • Model reduction for optimization, control and inverse problems
  • MOR for multiphysics/multiphase problems
  • Large-scale applications, digital twins
  • MOR for industrial applications
  • Emerging computational technologies based on ROM
  • Model Reduction Software and Benchmarks

 

Previous MoRePaS editions were held in Münster (2009), Günzburg (2012), Trieste (2015) and Nantes (2018). Previous MODRED editions were held in Berlin (2010), Magdeburg (2013), Odense (2017) and Graz (2019).

Online user: 2