ErUM Data FASTER

ErUM Data FASTER is funded by the BMFTR and brings together the University of Siegen, the University of Tübingen, Kiel University, KIT, DESY, Hereon, and TXproducts UG.

The project develops intelligent “closed-loop” synchrotron and neutron experiments that combine machine learning, real-time data analysis, and autonomous beamline control for XPCS, reflectivity, and time-resolved diffraction experiments at large-scale research facilities.