Published:
Scientific Achievement: An unsupervised machine learning algorithm is developed for detecting crystallographic defects in atomic-resolution images.
Significance and Impact: The method enables fast screening of large volumes of atomic-resolution data of a variety of different crystal structures without needing manually labeled training images.
