University of Kassel and HZB establish Joint Lab for the use of artificial intelligence
View into the experimental hall of the electron accelerator BESSY II at Helmholtz-Zentrum Berlin. Researchers carry out experiments at approximately 50 beamlines. The aim of the cooperation between the University of Kassel and the HZB is to use artificial intelligence to evaluate these data more efficiently. © HZB/M. Setzpfand
The University of Kassel and Helmholtz-Zentrum Berlin are setting up a joint laboratory for the use of artificial intelligence, where they will be developing new experimental methods and improving the analysis of data from experiments performed at BESSY II.
Every year, nearly 3000 user groups from around the world visit the electron storage ring BESSY II to study an immense variety of materials using the brilliant X-ray light the ring generates. “In the research of current scientific problems, at BESSY II for example, so much data accumulates that it can barely be analysed using conventional analytical programs. In the Joint Lab, we will be developing and employing methods of artificial intelligence to do this analysis. These methods should even allow us to think up entirely new test scenarios in other scientific and technical areas that have always seemed beyond our analytical capabilities in the past,” says Prof. Dr. Arno Ehresmann, the vice president of the University of Kassel, who is also responsible for research funding.
HZB and the University of Kassel recently signed a joint cooperation agreement to set up the Joint Lab Artificial Intelligence Methods for Experiment Design (AIM-ED). A Joint Lab is a medium- to long-term form of cooperation established between the Helmholtz Association and universities. “We are pleased to be able to combine the expertise in artificial intelligence of the University of Kassel and Helmholtz-Zentrum Berlin in this way, for working on groundbreaking solutions together,” says Prof. Ehresmann.
One institute involved in the Joint Lab is the Kassel Research Center for Information System Design (ITeG). “There will also be several particularly strong research groups from the physics department working on the application of AI methods for the design, analysis or optimisation of experiments, including within a DFG Special Research Area,” Prof. Ehresmann says. The Intelligent Embedded Systems Group will also be involved, under the direction of Prof. Dr. Bernhard Sick, who has long been working intensively in the field of machine learning and artificial intelligence.
There are many synergies arising from the newly founded Joint Lab, emphasises Dr. Gregor Hartmann, a supervising researcher at Helmholtz-Zentrum Berlin. “The experiments at BESSY II generate immense amounts of data, where not only the volume of the data but also the complexity and understanding of their creation are decisive for good analysis.” HZB has great expertise in beamline development, and Prof. Ehresmann’s workgroup is contributing its expertise in detectors from the perspective of a long-term BESSY II user. The broad range of artificial intelligence methods covered by Prof. Bernhard Sick’s team will allow the best possible analysis of data. “I am very much looking forward to the intensive and exciting cooperation in this Joint Lab,” says Hartmann.
- BESSY II: New sample environment allows glimpse into thermocatalytic processesA novel measurement cell allows, for the first time, soft and hard X-ray investigations under high pressures of up to 20 bar and temperatures of up to 400°C. This provides new insights into thermocatalytic processes, such as the Fischer-Tropsch synthesis for producing synthetic fuels. The development of the measurement cell is considered a significant achievement within the Care-O-Sene project.
- Precision interface chemistry pushes perovskite solar cells beyond 26% efficiencyAn international research collaboration has developed a new molecular strategy for controlling one of the most critical interfaces in perovskite solar cells. The resulting solar cells reached a power conversion efficiency of 26.19% in the n i p architecture, together with strong operational stability under prolonged illumination and elevated temperature. The results have been published in the Journal of the American Chemical Society.
- Magnetic imaging: Micro-flowers increase the local magnetic fieldMaterials with magnetic nanostructures have many potential applications such as in spintronics. To explore such materials, nanoscale magnetic-sensitive imaging techniques are very useful, but up to now only weak magnetic fields could be applied during the imaging process. Now an international collaboration led by Dr. Sergio Valencia, HZB, has developed an approach that overcomes this limitation. The team designed tiny magnetic flux concentrators (MFCs), into which the sample is placed. The geometry of the MFCs resembles a flower with a number of petals which focus the applied magnetic field into its center. This greatly expands the magnetic field range available during imaging, and so the range of magnetic systems that can be investigated. The micro-flowers, enhancing magnetic fields locally, can find application in different nanometric magnetic microscopy techniques.