OSCARS AI-SCOPE

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

01.12.2024 bis 30.11.2026

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.