Description

Leader of the group Scientific Computing: Daan Crommelin.

The Scientific Computing group at CWI develops efficient mathematical methods to simulate and predict real-world phenomena with inherent uncertainties. Such uncertainties arise from e.g. uncertain model parameters, chaotic dynamics or intrinsic randomness, and can have major impact on model outputs and predictions. Our work is targeted in particular at applications in climate, energy, and finance. In these vital areas, the ability to assess uncertainties and their impact on model predictions is of paramount importance. Expertise in the SC group includes uncertainty quantification, data assimilation, stochastic multiscale modeling and risk assessment. The availability of data to inform and improve simulations and predictions, for example through learning and data-driven modeling, plays an important role in our research.

 

 

The SC group organizes the seminar on Machine Learning and Uncertainty Quantification in Scientific Computing.

 

 

 

 

 

Vacancies

No vacancies currently.

News

Cells ‘walk’ to firm ground

Cells ‘walk’ to firm ground

A new mathematical model may explain how body cells get their shapes and what makes them move within a tissue. The model provides fundamental knowledge for applications in tissue engineering, amongst other things. The research was executed by Roeland Merks and Lisanne Rens, who were previously affiliated with CWI's Scientific Computing group.

Cells ‘walk’ to firm ground - Read More…

Members

Associated Members

Publications

Current projects with external funding

  • Valuation Adjustments for Improved Risk Management (ABC-EU-XVA)
  • Physics based ICT: The digital twin in pipelines (DP-Trans)
  • Discretize first, reduce next: a new paradigm to closure for fluid flow simulation (None)
  • Unravelling Neural Networks with Structure-Preserving Computing (Unravelling Neural Networks)
  • Verified Exascale Computing for Multiscale Applications (VECMA)

Related partners

  • Max Planck Institute for Informatics
  • Bull Sas
  • CBK Sci Con Ltd
  • Bayerische Akademie der Wissenschaften
  • MeitY
  • Instytut Chemii Bioorganicznej Polskiej Akademii Nauk
  • Technische Universiteit Eindhoven
  • Brunel University London
  • University College London
  • Universiteit Leiden
  • Universiteit van Amsterdam