News

By combining a deep understanding of plasma physics with machine learning techniques, DIFFER researchers developed a new ultrafast neural network model of the turbulent plasma in a fusion reactor.

Peter Rindt likes to think out-of-the-box. So when his Eindhoven University of Technology supervisor Niek Lopes Cardozo asked him if they could use 3D-printing to fix a long-standing problem in fusion reactors, that is what he did. Rindt designed a divertor using liquid metal contained by 3D-printed tungsten. He successfully defended his PhD thesis in July 2019.

A fresh look at photoelectrochemical cells may boost these devices' ability to convert sunlight into the clean energy carrier hydrogen.

GroenLinks heeft een werkbezoek gebracht aan DIFFER en de Technische Universiteit Eindhoven. Tom van der Lee (Tweede Kamer) en Anne van Diemen (Provinciale Staten) kwamen praten over waterstof, en over de conversie en opslag van groene energie. Bij het bezoek was ook het bedrijfsleven vertegenwoordigd.

The worldwide production of synthetic hydrocarbons relies heavily on the Fischer-Tropsch process, but the basic steps in the formation of the carbon chains remain elusive. Scientists working at Syngaschem and DIFFER used advanced spectroscopic studies to understand what happens at the surface of the catalyst. They present their results in Nature Communications.