March 29, 2021
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.
March 29, 2021
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. Together with the company Ignition Computing and ITER Organization his proof-of-concept has been successfully incorporated in the ITER dynamic Python interface to better store and retrieve sensor data and involved calculations.
March 11, 2021
Using more eyes to control fusion reactions: EUROfusion granted a project on multivariable feedback control of radiative loss processes. After having published recently on the heat loss control using a single camera of the MANTIS system (link), a consortium led by DIFFER and EPFL has now scored a crucial follow-up research project in the EUROfusion Enabling Research scheme to demonstrate direct control of the plasma detachment.
March 11, 2021
Honeycomb structure electrode
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. With this material, the battery becomes more efficient and can be tailored to many different applications. Moreover, the new electrode is easier and cheaper to produce and suits large-scale manufacturing. The research results are published in the journal Advanced Materials.
March 3, 2021
September 2020, MJ Pueschel started his new research group. The staunch idealist brings unique theoretical expertise to DIFFER.