Unsupervised clustering of diffraction pattern similarity segments 4D-STEM data into spatially contiguous crystallographic domains, enabling data reduction by orders of magnitude and improved averaged patterns for phase, orientation, and strain analysis.
Non-negative matrix factorization for mining big data obtained using four-dimensional scanning transmission electron microscopy
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Unsupervised segmentation and clustering workflow for efficient processing of 4D-STEM and 5D-STEM data
Unsupervised clustering of diffraction pattern similarity segments 4D-STEM data into spatially contiguous crystallographic domains, enabling data reduction by orders of magnitude and improved averaged patterns for phase, orientation, and strain analysis.