Symmetry-aware recursive image similarity exploration for materials microscopy

Manipulating Ferroelectrics through Changes in Surface and Interface Properties

Ruijuan Xu NC State MSE

PDF] Unsupervised learning of ferroic variants from atomically resolved STEM images

Applied Sciences, Free Full-Text

SEM images in the top view of a α-Fe2O3 nanostructure, b

Reconstruction of Polarization Vortices by Diffraction Mapping of Ferroelectric PbTiO3 / SrTiO3 Superlattice Using a High Dynamic Range Pixelated Detector, Microscopy and Microanalysis

Chemical Phenomena of Atomic Force Microscopy Scanning

Novel Machine Learning Technique To Identify Structural Similarities and Trends in Materials

Machine learning-based prediction and inverse design of 2D metamaterial structures with tunable deformation-dependent Poisson's ratio - Nanoscale (RSC Publishing) DOI:10.1039/D2NR02509D

PDF] Microscopy is All You Need

Applied Sciences, Free Full-Text

A Novel Neural Network to Understand Symmetry, Speed Materials Research

PDF] Microscopy is All You Need

A Novel Neural Network to Understand Symmetry, Speed Materials Research

Symmetry-aware recursive image similarity exploration for materials microscopy