Jan Lüning heads HZB Institute for Electronic Structure Dynamics
© HG Medien
The HZB Institute for Electronic Structure Dynamics, newly founded on 1 May, develops experimental techniques and infrastructures to investigate the dynamics of elementary microscopic processes in novel material systems. This will help to optimise functional materials for sustainable technologies.
Prof. Dr. Jan Lüning is an internationally recognised expert in research with synchrotron radiation. Before joining HZB in 2018, he was a professor at Sorbonne University in Paris and worked at the French synchrotron SOLEIL.
Three groups belong to the institute: Dr Ulrich Schade's group operates the IRIS infrared beamline at the BESSY II synchrotron radiation source. He examines molecular processes in novel functional materials that enable, for example, energy conversion or catalytic water splitting.
The group "Ultra-Short-Time Laser Spectroscopy" led by Dr. Iain Wilkinson works in the laser laboratories ULLAS and LIDUX and investigates the dynamics of reactions in aqueous solutions and at aqueous interfaces on ultra-short time scales.
The third group, led by Dr. Christian Schüssler-Langeheine and Dr. Niko Pontius, operates the Femtoslicing Facility at BESSY II and conducts research on materials with complex phase transitions that have the potential to make electronic and magnetic devices smaller, faster and more energy efficient.
The institute's research activities are part of the Helmholtz Association's Programme-Oriented Funding (POF IV) in the Research Field Matter.
- 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.