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.
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