International conference QENS 2016 and Workshop WINS 2016 in Potsdam
Participants of QENS 2016 and WINS 2016
From 5th to 9th of September HZB has hosted two international scientific events dedicated to the study of the dynamics at nanoscale, QENS and WINS 2016. While Quasielastic Neutron scattering conference (QENS 2016) was dedicated to the scientific applications, international Workshop on Inelastic spectrometers WINS 2016 allowed to touch on the instrumental aspects. 108 scientists from all over the world participated in these events organized in the heart of the Potsdam.
For the first time in the history of QENS the conference was focused on the exploration of materials for energy and information technology applications. Modeling, either to deeper understanding of experimental data, or in the prediction of new materials and phenomena was integral part of the programme. A special session will be dedicated to water. “Very nice program, perfect organization and all this in such a nice place!” summarized Jean-Marc Zanotti from Saclay, France.
- Israel Ibukun Olaniyan receives the Helmholtz Doctoral Award 2026At Helmholtz, more than 8,000 doctoral candidates conduct research. Eleven of them have now been honored for their original and outstanding work, among them Dr Israel Ibukun Olaniyan from the HZB. His doctoral thesis "Ferroelectricity at the nanoscale in epitaxial BaTiO3 on silicon" in the group of Professor Catherine Dubourdieu represents a step towards a new nanoelectronics based on topological defects, that can potentially help to create an energy efficient information technology.
- 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.
- 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)