Collaborative Research Centre “Nanoscale Metals” raises 11 million euros
Licht wird durch den Nanopartikel fokussiert und die Energie lokal in verschiedene Formen umgewandelt, die dann Chemische Transformation antreiben. © Felix Stete
Several HZB research teams are participating in the new SFB 1636 "Elementary processes of light-driven reactions on nanoscale metals".
Research on Nansoscale Metals
“We are excited and look forward to the new synergies that can arise from this,” says Prof. Matias Bargheer, who is one of the spokespersons for the new Collaborative Research Centre, led by University of Potsdam. The HZB scientists Renske van der Veen, Yan Lu and Alexander Föhlisch are also involved, in addition to the team of Bargheer, who heads a joint research group at the University of Potsdam and HZB.
The research project aims to help understand the elementary processes that trigger light-controlled chemical reactions on metals at the nanoscale. “There are still many unanswered questions at this fascinating transition between physics and chemistry and we can already apply our concepts to organic coupling reactions and polymerisations, e.g. to functionalise nanoparticles asymmetrically,” says Prof. Dr. Matias Bargheer, talking about the struggles as well as the perspectives of their collaborative research.
- 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.