What question did this study set out to answer?

The project aims to enhance surface scattering data quality and accessibility using AI-driven workflows.

March 3, 2026Open Access

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

SKStefan KowarikUniversity of Graz NMNada Mrkyvkova FSFrank SchreiberFederal Institute For Materials Research and Testing

Key Points

The project aims to enhance surface scattering data quality and accessibility using AI-driven workflows.
Development of AI-assisted workflows for data processing
Focus on reflectometry and grazing-incidence diffraction techniques
Integration of enhanced data into open science platforms
Improved data quality through AI enhancements
Increased accessibility of data for the scientific community
Support for FAIR (Findable, Accessible, Interoperable, Reusable) data principles

Abstract

Poster presenting the AI-SCOPE project, which develops AI-assisted workflows for reflectometry and grazing-incidence diffraction enabling FAIR surface scattering data and integration with open science platforms.

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