Leader of the group Scientific Computing: Daan Crommelin.

The world is full of uncertainties. Being able to assess those uncertainties and their impact on predictions is critical for many real-world problems. Our research group works to investigate and develop methods that contribute to a better understanding of hard-to-predict developments in vital areas such as climate, energy, and finance. It’s all about finding efficient mathematical solutions for complex problems and thereby increasing understanding. With the computational methods we develop, it is possible to quantify the range of potential outcomes of systems that are extremely difficult to predict, enabling better forecasting. Our work is targeted in particular at applications in energy systems, finance and climate science. We always aim to make the connection between fundamental research and practical application.








Instable blood supply may help healthy cells compete with tumor cells

Instable blood supply may help healthy cells compete with tumor cells

Researchers of CWI’s Scientific Computing group have found that instabilities in the blood supply in cancerous tissue can, surprisingly, lead to a less favorable environment for tumor cells. Their findings shed light on the potential negative side effects of current treatments that aim to actually normalize the blood supply in cancerous tissues.

Instable blood supply may help healthy cells compete with tumor cells - Read More…

CWI researcher simulates complex financial developments, from interest rates to the possibility of bankruptcy

CWI researcher simulates complex financial developments, from interest rates to the possibility of bankruptcy

PhD student Alvaro Leitao Rodriguez proposes new methods to tackle complex problems in the financial sector. With these methods, Leitao Rodriguez successfully simulates the movements of the interest rates in the Foreign eXchange (FX) markets and evaluates corresponding risks.

CWI researcher simulates complex financial developments, from interest rates to the possibility of bankruptcy - Read More…

Current events

PhD Defence Lisanne Rens (Scientific Computing)

  • 2018-06-27T11:15:00+02:00
  • 2018-06-27T12:15:00+02:00
June 27 Wednesday

Start: 2018-06-27 11:15:00+02:00 End: 2018-06-27 12:15:00+02:00

RU Leiden

Everyone is invited to attend the public defence of Lisanne Rens on her PhD thesis entitled: Multiscale mathematical biology of cell-extracellular matrix interactions during morphogenesis.

Promotor: prof.dr. Roeland Merks (CWI, Universiteit Leiden)

SC Seminar Alfons Hoekstra (UvA)

PhD Defence Debarati Bhaumik (Scientific Computing)

  • 2018-05-30T10:00:00+02:00
  • 2018-05-30T11:00:00+02:00
May 30 Wednesday

Start: 2018-05-30 10:00:00+02:00 End: 2018-05-30 11:00:00+02:00

Agnietenkapel, Oudezijds Voorburgwal 231, Amsterdam

Everybody is invited to attend the public defence of Debarati Bhaumik of her thesis entitled 'Computational Techniques for Assessing Power Grids with Wind Energy and Storage'. 

Promotores: prof.dr. Daan Crommelin (CWI, UvA) and prof.dr. Bert Zwart (CWI, TU/e).

SC Seminar Jean Francois Ripoll (CEA, Paris)

  • 2018-05-22T15:00:00+02:00
  • 2018-05-22T16:00:00+02:00
May 22 Tuesday

Start: 2018-05-22 15:00:00+02:00 End: 2018-05-22 16:00:00+02:00


Jean-François Ripoll, CEA, DAM, DIF, Arpajon, France

Modeling of the Quiet Decay of Radiation Belts Electrons

In this presentation, we address the questions on how to model the dynamics of the radiation belts during quiet geomagnetic times. We consider a broad hierarchy of models, from equilibrium (steady) model representation, to 1D reduced Fokker-Planck, then, full 3D Fokker-Planck formulations. We show how we can sometimes find analytically the solution or simplify some important terms, such as pitch angle diffusion, to the profit of lowering the computational cost while still keeping admissible accuracy.

We apply these models to the geomagnetic storm of March 1st 2013 and compute how fast the slot region forms gradually between the two radiation belts during long and quiet storm recovery, contributing to depopulate the close-Earth magnetosphere of the large amount of electrons injected by the storm. This scattering phenomenon by pitch angle diffusion is caused by wave-particle interactions from whistler hiss waves and is essential to the energy structure of the belts and slot region.

Here, pitch angle diffusion is computed from data-driven whistler mode hiss waves and ambient plasma observations from the NASA Van Allen Probes satellites. The high temporal and spatial resolution is meant to describe the nonlinear turbulent variability of the scattering and requires massively parallel simulations that will be briefly discussed. 3D Fokker-Planck simulations made with VERB-3D uses these data-driven pitch angle diffusion coefficients while the 1D reduced Fokker-Planck equation is based on losses computed from data-driven electron lifetimes that are fully consistent with the diffusion coefficients. Numerical results are compared to global observations from the Van Allen Probes using the Magnetic Electron and Ion Spectrometer (MagEIS) flux measurements of the belts. Different dedicated metrics are discussed and used to assess the models’ accuracy.


Associated Members


Current projects with external funding

  • Accurate prediction of slugs in multiphase pipe flow simulation for improved oil and gas production
  • Geometric Structure and Data Assimilation
  • Probabilistic Uncertainty Assessments in Energy-Related Problems
  • Realibilty and Robustness of Power Grids with Uncertain Generation
  • Stochastic models for unresolved scales in geophysical flows
  • Towards cloud-resolving climate simulations
  • Uncertainty Quantication in Hydraulic Fracturing using Multi-Level Monte Carlo and Multigrid
  • Excellence in Uncertainty Reduction of Offshore Wind Systems (EUROS)
  • Efficient numerical methods for deformable porous media. Application to carbon dioxide storage (PORO SOS)
  • Rare Event Simulation for Climate Extremes (RESClim)
  • Sloshing of Liquefied Natural Gas: subproject Variability (14-10-project2) (SLING)
  • Applied mathematics for risk measures in finance and insurance, in the wake of the crisis (WAKEUPCALL)

Related partners

  • FOM
  • Shell, Amsterdam
  • Vortech
  • Rijksuniversiteit Groningen
  • Technische Universiteit Eindhoven
  • Technische Universiteit Delft