Sprecher
Beschreibung
Neutron and x-ray scattering provide indirect but highly sensitive access to the structure and dynamics of condensed and soft-matter systems. However, extracting physically meaningful parameters from scattering data is a challenging task. Therefore, robust analysis software and intelligent decision-support strategies have become essential components of modern scattering experiments.
At JCNS, we develop data reduction and analysis software frameworks, as well as AI-assisted approaches that support and advance workflows in neutron and x-ray scattering experiments. By integrating these methods into data acquisition and analysis pipelines, we enable on-the-fly data assessment and experiment steering during beam time, as well as efficient and reproducible offline analysis.
In this talk, we will provide an overview of our in-house software tools and AI-assisted solutions, discuss their opportunities and limitations, outline emerging perspectives for data-driven scattering experiments, and present selected examples from our recent work.