A deep learning approach for determining the chiral indices of carbon nanotubes from high-resolution transmission electron microscopy images
Georg Daniel Förster, Alice Castan, Annick Loiseau, Jaysen Nelayah, Damien Alloyeau, Frédéric Fossard, Christophe Bichara, Hakim Amara
Topics & Concepts
High-resolution transmission electron microscopyCarbon nanotubeTransmission electron microscopyConvolutional neural networkComputer scienceMaterials scienceResolution (logic)Artificial intelligenceChirality (physics)Process (computing)NanotechnologyPattern recognition (psychology)PhysicsNambu–Jona-Lasinio modelQuarkChiral symmetry breakingOperating systemQuantum mechanicsCarbon Nanotubes in CompositesAdvanced Electron Microscopy Techniques and ApplicationsNanopore and Nanochannel Transport Studies