Professorship at the University of Augsburg for Felix Büttner
Prof. Dr. Felix Büttner has been called at the University Augsburg. He heads now a joint research group at HZB. © Uni Augsburg
Felix Büttner has led a junior research group at HZB. Now he has accepted a call to the University of Augsburg. As head of a joint research group, he will continue his studies of magnetic skyrmions at BESSY II.
Felix Büttner has been leading a junior research group at HZB since the beginning of 2020, funded by the Young Investigator Grant of the Helmholtz Association. In spring 2022, he was awarded the Walter Schottky Prize of the German Physical Society for his pioneering achievements in the field of magnetic skyrmions. Since July, he holds a professorship at the Institute of Physics, University Augsburg.
Felix Büttner studied in Göttingen and received his doctorate in 2013 for his work at the interface of magnetism and X-ray physics. After a stint in industry at Daimler AG, he worked as a postdoctoral researcher at the Massachusetts Institute of Technology from 2015-2020.
Prof. Dr. Büttner investigates nanotextures in magnetic thin-film materials and drives the development of ultrahigh-resolution X-ray microscopy techniques. The aim is to understand the particle-like dynamics of such topological textures and to prepare their application in information technology.
Under a cooperation agreement between the University of Augsburg and HZB, Büttner will work one day a week at HZB, where he runs laboratories in Wannsee and carries out measurements at BESSY II. His research group will remain in full size.
- 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)
- Patterns of polar vortices in lead-free superlattices on siliconA team at HZB has, for the first time, reported polar vortices in (BaTiO3/SrTiO3)10 superlattices on silicon. These results expand the range of materials and substrates on which polar topological textures can occur and open up new options for incorporating complex ferroelectric states into silicon-based technologies.