AI & ML Research Papers

TEMImageNet training library and AtomSegNet deep-learning models for high-precision atom segmentation, localization, denoising, and deblurring of atomic-resolution images

Ruoqian Lin, Rui Zhang, Chunyang Wang, et al.

This paper presents a deep-learning library and models for robust atom segmentation, localization, denoising, and deblurring in atomic-resolution STEM images, outperforming conventional methods.