Symmetry-aware recursive image similarity exploration for materials microscopy

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

Joshua Agar Drexel Engineering

Strain-induced growth instability and nanoscale surface patterning in perovskite thin films

PDF) Atomic study of Fe3O4/SrTiO3 Interface

Applied Sciences, Free Full-Text

Chemical Phenomena of Atomic Force Microscopy Scanning

A Novel Neural Network to Understand Symmetry, Speed Materials Research

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

Publications – M3-Learning

Machine Learning Pipeline for Segmentation and Defect Identification from High-Resolution Transmission Electron Microscopy Data, Microscopy and Microanalysis