DIFFER
Events (archive)

Events (archive)

We believe in our duty to share knowledge through weekly seminars, regularly workshops and other events. on this page you'll find events organized in the past. If you're interested in upcoming events visit the Events page. Our weekly seminars at DIFFER cover a wide range of topics and are open to everybody. Please, read more on our dedicated Seminars page. You can find specific information for external visitors and subscribe to our seminar mailinglist on this page.

Seminar, to
DIFFER event
In the future we will increasingly be surrounded by intelligent technology; both inside our homes as outside on the street, in visible as well as invisible ways. Cars will evolve into iPads on wheels and all kinds of robots will help do our job and take care for the ill and elderly. Living with a private robot will be as common as keeping a pet.
Seminar, to
DIFFER event
Divertor power exhaust is one of the remaining challenges in the design of successful fusion power plants. Usually, one has to resort to plasma edge codes to extrapolate the current understanding of divertor exhaust physics towards the operational windows anticipated in reactors.
Seminar, to
DIFFER event
The transition from the fossil energy system to a renewable system is more than just a normal 'innovation'. It is not only about the introduction of a new technique, and the change of the societal and economic practices in which it is applied.
Seminar, to
DIFFER event
With the integration of membranes in fluidized bed reactors a large extent of process intensification can be achieved, especially for the production of ultra-pure hydrogen. However, the integration of membranes and their configuration, as well as the effect of permeation of gas through the membranes influence  the fluidization behaviour significantly.
Seminar, to
DIFFER event
Mathematical models of dynamical systems become increasingly complex as a consequence of increasing requirements on technical specifications and technological improvements. Techniques for model-based system design and model based control design therefore need to cope with high levels of complexity of mathematical models.