ProjectOSCARS AI-SCOPE – AI-Driven Enhancement of Surface Scattering Data for Open Science Platforms Across Europe

Basic data

Acronym:
OSCARS AI-SCOPE
Title:
AI-Driven Enhancement of Surface Scattering Data for Open Science Platforms Across Europe
Duration:
01/12/2024 to 30/11/2026
Abstract / short description:
The AI-SCOPE project engages the European photon and neutron (PaN) science community to enhance the frequency and quality of FAIR-compliant data submissions to EOSC-indexed databases, such as the ESRF data portal or Zenodo.
The project stands to dramatically enhance data FAIRness and beamtime efficiency, by introducing a live AI analysis tool for surface scattering experiments. By rigorously applying it to a diverse array of pre-existing scattering data and enabling live analysis of data from a multitude of sample types we will create a well-curated dataset with detailed annotations in EOSC indexed databases, and lay the groundwork for more uploads with metadata in the future. Both the AI-tool and the curated database will unlock new possibilities for data reuse and collaborative scientific exploration of X-ray and neutron data with machine learning helping also AI-guided materials discovery.
Keywords:
surface scattering data
photon and neutron science
PaN science
PaN data

Involved staff

Managers

Faculty of Science
University of Tübingen
Institute of Applied Physics (IAP)
Department of Physics, Faculty of Science

Other staff

Institute of Applied Physics (IAP)
Department of Physics, Faculty of Science
Institute of Applied Physics (IAP)
Department of Physics, Faculty of Science

Local organizational units

Institute of Applied Physics (IAP)
Department of Physics
Faculty of Science

Funders

Brüssel, Belgium
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