Another innovative EU project with HZB participation kicked off
Symbol picture for BIPV (University of Zurich (Zh) - 100 kWp) © Planeco GmbH
The CUSTOM-ART consortium consists of 17 academic and industrial partners, involving world leading groups and main European actors involved in the development of kesterite technologies. It leads an ambitious and disruptive project for the development and demonstration of the next generation of building and product integrated photovoltaic modules (BIPV and PIPV) based on abundant thin-film materials. The project started September, 1st 2020 and will run for 3.5 years.
HZB contributes to the technology development by systematically investigating the structure-function relationship of kesterite-type materials as one of quaternary chalcogenide compound semiconductors. HZB will study the influence of alkali doping on the point defect scenario and level of structural disorder. These studies will rely on detailed structural investigations of kesterite-type monograins (based on neutron diffraction and multiple energy anomalous X-ray diffraction). Also HZB will contribute with combinatorial high-throughput materials optimization applying especially advanced optoelectronic analytics. HZB has a share of 550 TEUR out of the total funding based on budgeted total costs of 8M€.
- 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.