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Een investering van 646 miljoen euro en een reservering van 3,5 miljard euro in tien projecten moet zorgen voor meer economische groei in Nederland. Het kabinet wil dit geld uit het Nationaal Groeifonds onder meer steken in groene waterstof, innovatief en toekomstbestendig onderwijs en het doortrekken van de Noord-Zuidlijn.

Using machine learning is a promising trend in modelling the behaviour of the plasma inside a nuclear fusion reactor. DIFFER-researchers are pioneering very fast neural network models for plasma turbulence.

DIFFER PhD student Karel van de Plassche came up with a clever approach to improve the system that is crucial for sharing information and performing experiments in the international ITER Organization.

Using more eyes to control fusion reactions: EUROfusion granted a project on multivariable feedback control of radiative loss processes.

A relatively unknown type of battery – the redox-flow battery – is very promising for large-scale energy storage. To improve the electrochemical reactions in this battery, a team of researchers from Eindhoven University of Technology (TU/e), DIFFER and MIT developed a completely new electrode with ‘honeycomb’ pores.