Symmetry-aware recursive image similarity exploration for materials microscopy

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Ruijuan Xu NC State MSE

Frontiers in strain-engineered multifunctional ferroic materials, MRS Communications

Ruijuan Xu NC State MSE

An Optical Sectioning Method for 3D Reconstruction Using 4D-STEM, Microscopy and Microanalysis

Revealing ferroelectric switching character using deep recurrent neural networks

VGG-Consulting (V. G. Gueorguiev, Ph.D.) on LinkedIn: A team developed an artificial neural network and used machine learning to…

A novel neural network to understand symmetry, speed materials research

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

Measuring Orbital Angular Momentum (OAM) and Torque Transfer from Polarization Vortices with the Electron Microscopy Pixel Array Detector, Microscopy and Microanalysis

Depth profiling of PZT thin film. (a) ToF-SIMS depth profiles; (b) AFM

Applied Sciences, Free Full-Text

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

Joshua Agar Drexel Engineering

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