Upcoming events and seminars

We believe in our duty to share knowledge through weekly seminars, regularly workshops and other events. Our weekly seminars at DIFFER (filter the list below for seminars only) cover a wide range of topics and are open to everybody. Please, read more about our seminars and specific information for external visitors at Upcoming seminars.

Filter for seminars only
List all past events organized at DIFFER
List all past seminars organized at DIFFER

October 15th 2020
PhD defense
DIFFER researcher Matteo Parente will defend his PhD thesis titled "0D and 1D Metals: Plasmonic Sensors and Charge Conductors" on 15 October 2020 from 13:30 - 14:30 CEST.
October 16th 2020
PhD defense
DIFFER researcher Bram Wolf will defend his PhD thesis titled “Thermal aspects of CO2 conversion in the vortex-stabilized microwave plasma” on 16 October 2020 from 11:00 - 12:00 CEST.
October 16th 2020
PhD defense
DIFFER researcher Kiran George will defend his PhD thesis titled "Modeling water oxidation at photoanodes: A multiscale approach" on 16 October 2020 from 13:30 - 14:30 CEST. The defense will take place at TU/e for a limited number of people, and can be followed online.
Prof. dr. Siegfried Glenzer
October 22nd 2020
Seminar
Normally, what surrounds us are gases, liquids, or solids. But elsewhere in the universe, 99% of the observable matter exists under extreme conditions that lead to more exotic states of matter that lead to the formation of plasmas and warm dense matter. Specifically, near the center of Jupiter, hydrogen becomes liquid or even solid - a process important to understand the evolution of our solar system. In the center of the sun, hydrogen is a plasma that burns itself up by nuclear fusion - a process humans want to harness for clean energy production on earth.
October 28th 2020
Symposium
We are pleased to announce the date and theme for the 2020 edition of the Applied Computational Sciences (ACOS) Symposium. The symposium takes place on 28 October 2020 as an online event. Machine Learning - from big data to multiscale modeling