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Scientific Computing group news
eScience Center grants CWI project on differentiable programming
Benjamin Sanderse and his Scientific Computing group received a grant from the Netherlands eScience Center to develop a new software framework. This framework will be used to discover new physics models using …
New Shell-CWI project to improve CO2 transport simulations
To help reduce global warming, transport of CO2 for underground storing should be optimized. CWI will develop new mathematical modelling techniques to improve this, in a new research project in collaboration with …
Hurray! A new national supercomputer: Snellius
On Thursday 16 September 2021, Queen Máxima performed the official opening of the new national supercomputer Snellius. CWI researchers have been computing on the national supercomputer since 1984: from testing security keys …
Researchers find substantial uncertainties in Covid-19 pandemic simulations
Computer modelling to forecast Covid-19 mortality contains significant uncertainty in its predictions, according to an international study led by researchers at UCL and CWI. Their article was published in Nature Computational Science …
Multiple simulations best for Covid-19 predictions
Computer modelling used to forecast Covid-19 mortality contains significant uncertainty in its predictions, according to a new study led by researchers at UCL and CWI in the Netherlands. This was described in …
Benjamin Sanderse wins Vidi grant to study complex fluid flows
To predict the output of a wind farm, the weather or the blood flow through a heart valve, accurate fluid flow models are needed. CWI researcher Benjamin Sanderse received a Vidi grant …
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 …
CWI researchers involved in two NWO-Groot grants
In the NWO Open Competition ENW-GROOT programme, four CWI researchers received in total two grants to study machine learning and neural networks: Nikhil Bansal, Monique Laurent, Benjamin Sanderse and Leen Stougie.
