Semi-supervised machine learning workflow for analysis of nanowire morphologies from transmission electron microscopy images
Shizhao Lu, Brian Montz, Todd Emrick, Arthi Jayaraman
Abstract
Semi-supervised transfer learning workflow facilitates rapid, automated nanomaterial morphology classification for small image datasets. Self-supervised training enables label-free pretraining that minimizes drawbacks of manual labeling.
Topics & Concepts
Transmission electron microscopyWorkflowNanowireElectron microscopeComputer scienceMaterials scienceNanotechnologyTransmission (telecommunications)Artificial intelligencePhysicsOpticsDatabaseTelecommunicationsMachine Learning in Materials ScienceAdvanced Electron Microscopy Techniques and ApplicationsElectron and X-Ray Spectroscopy Techniques