Berlin 2024 – wissenschaftliches Programm

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CPP: Fachverband Chemische Physik und Polymerphysik

CPP 34: Emerging Topics in Chemical and Polymer Physics, New Instruments and Methods I

CPP 34.1: Hauptvortrag

Donnerstag, 21. März 2024, 09:30–10:00, H 0106

Towards AI-assisted analysis of surface and small-angle x-ray and neutron scattering data — •Marina Ganeva — JCNS, Forschungszentrum Jülich, Jülich, Germany

The long term and sustainable success of Neutron and X-ray community essentially depends on its ability to meet growing challenges in handling and analyzing data of increasing volume and complexity. The arise of new generation of high-intensity x-ray and neutron sources and fast, large area 2D-detectors leads to high data rates and large data volumes, which are not possible anymore to analyze in traditional way. Thus, new fast and reliable approaches are required.

Nowadays AI-assisted approaches are increasingly being developed and applied to address the challenges in our life. They provide a smart solution with potential to accelerate the x-ray and neutron data analysis and facilitate the extraction of valuable insights from large and complex datasets. In the present talk I will discuss challenges and perspectives of AI-assisted data analysis for surface and small-angle x-ray and neutron scattering from soft matter samples and will give an overview of our recent results.

Keywords: artificial intelligence; neutron scattering; x-ray scattering; inverse problem; bayesian inference