3D Materials Data

3D materials data refers to volumetric datasets of microstructure, phases and physical fields obtained from methods like CT, FIB‑SEM stacks or atom probe tomography. Representative sampling, metadata, segmentation and interoperable formats are crucial for modeling, machine learning and digital twins.

Committees

  • Working Group

    Materials Data Science and AI

    Committee members: 37
    Chair
    Prof. Dr. Stefan Sandfeld
    Forschungszentrum Jülich GmbH

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