Trained models of Generative Adversarial Networks for Carbon Nanotube Hierarchical Structures

Generation of tangible structures using deep learning technique: conditional generative adversarial network (GAN). The four models of conditional GAN were trained by scanning electron microscope (SEM) images of carbon nanotubes with different magnifications. Trained models stored in this file can generate virtual structure of carbon nanotube at arbitrary composition.