Review
Open access
Aug 2026
Deep learning in materials electron microscopy: models, applications and emerging trends
The intersection of deep learning (DL) and materials electron microscopy (EM) has significantly expanded since the early 2010 s; however, the diversity of model architectures and use cases makes it hard to identify literature gaps and determine which models are well-established in this field of application. This work p...
Camilo A. F. Salvador, Clovis Lapointe, T. Bilyk et al.
· Machine Learning: Science an... · 0 citations