HZB-Highlights 2022 published
© HZB/M.Setzpfand
The Highlights 2022 report on a selection of the most important research results and events at HZB.
This year, the cyber attack made it much more difficult to compile the highlights 2022. But now it's done! One focus in this report is energy research, in which HZB is extraordinarily successful, from basic research to technology transfer. In 2022, HZB teams developed tandem solar cells with record efficiencies, and there was great progress in research on batteries and "green" hydrogen as well. In addition, HZB further expanded its collaborations with industrial partners fostering innovation in the solar industry in Europe. Selected research results from the fields of information and matter provide insights into the diversity of research at HZB and at our X-ray source BESSY II. The report ends with facts, figures, personalia, a short report on the Diversity Charter and a review of special events such as the visit of the swedish King.
- Only at BESSY II worldwide: IR nanoscopy at very long THz wavelengthsThe team at the IRIS beamline at BESSY II has created a new experimental option: They achieved infrared nanoscopy with a spatial resolution of around 50 nm at very long THz wavelengths. This was possible thanks to a temporal pattern of light pulses known as the low-alpha operating mode at BESSY II. Worldwide, BESSY II is the only synchrotron light source at which users could perform nanoscopy in a single setup from 25 to 4000 cm-1, a unique opportunity for ultra-broadband characterisation of complex materials at the nanoscale in both the life sciences and materials sciences.
- Ultrafast demagnetisation - Thinner iron, stronger effectThe thinner an iron film, the more easily it can be demagnetised by a laser pulse. Researchers at the University of Duisburg-Essen, working with Helmholtz-Zentrum Berlin and other partners, have discovered why: the key lies in the magnetic order at the material's interfaces. In the long term, these findings could contribute to the development of new technologies for magnetic data storage. The results have been published in the scientific journal Advanced Science.
- Blind spot for the arrangement of atomsArtificial intelligence is increasingly being used to predict the properties of new materials. A research team from Jena and the United States now shows in a study published in the journal Nature Computational Science that when language models are used for this purpose, they reliably identify which types of atoms a material contains. However, they make insufficient use of information about how those atoms are arranged in space. Neither larger models nor additional training data resolve this weakness. For material properties that depend strongly on structure, AI models specifically designed to process spatial relationships are therefore the more reliable choice. (DOI: 10.1038/s43588-026-01045-2)