Motoki Shiga

Unsupervised machine learning for automated crystal orientation mapping on noisy 4D-STEM data

Abstract Four-dimensional scanning transmission electron microscopy (4D-STEM) is a high-throughput measurement used to comprehensively acquire diffraction patterns across a region of interest in a specimen. While the measurement is useful for identifying crystallographic microstr...