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.








Current events

SC Seminar Alfons Hoekstra (UvA)

PhD Defence Debarati Bhaumik (SC)

  • 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


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'. 

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

SC Seminar Jean Francois Rippoll (CEA, Paris)

SC Seminar Nikos Rekatsinas (UvA)

SC Seminar Bastiaan Braams (Multiscale Dynamics, CWI)

  • 2018-04-24T15:00:00+02:00
  • 2018-04-24T16:00:00+02:00
April 24 Tuesday

Start: 2018-04-24 15:00:00+02:00 End: 2018-04-24 16:00:00+02:00

CWI, L120

Potential energy surfaces for molecular modelling

Potential energy surfaces represent the total energy of a system of nuclei and electrons as a function of the nuclear configuration. These surfaces (and property surfaces, such as the dipole moment) are key tools for quasi-classical trajectory calculations, molecular spectroscopy, quantum scattering and other applications in molecular science. In the talk I will first describe methods developed and used in collaboration with Joel Bowman (Emory University) to fit full-dimensional potential energy and dipole moment surfaces for small molecules and molecular reaction complexes, with up to about eight nuclei depending on the application. The methods take full account of permutational symmetry among like nuclei, and this required extensive use of computer algebra through the Magma system. I will follow up with discussion of areas for future work, including the treatment of electronic excited states, and of the need for high quality potential energy surfaces for studies of plasma-material interaction.


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