Work

Dataset: Orientation-adaptive virtual imaging of defects using EBSD

Year: 2026

Type: dataset

Abstract: This dataset is associated with the journal article "Orientation-adaptive virtual imaging of defects using EBSD" published in Ultramicroscopy. It supports orientation-adaptive virtual aperture analysis of EBSD data for defect imaging, including virtual-image generation tied to local crystallographic orientation, automated detection of dislocation contrast, and assessment of defect visibility under different diffraction conditions.

Source: PARADIM Data Collective

DOI: 10.34863/t39t-fj24

Authors: della Ventura, Nicolò M., Lamb, James D., Lenthe, William C., Echlin, McLean P., Pürstl, Julia T., Trageser, Emily S., Quevedo, Alejandro M., Begley, Matthew R., Pollock, Tresa M., Gianola, Daniel S., De Graef, Marc

Institutions: University of California, Santa Barbara, Carnegie Mellon University

Language: English

Topic: Advanced Materials Characterization Techniques

Subfield: General Materials Science

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

Funder: Army Research Laboratory

Award: G5088347979

OpenAlex ID: W7167620740

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