activity
20122026
most citedDeep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations

430 citations · 1.2k across the 64 of their papers we have counts for

collaborators
Showing 2018Show all

6 papers · 1 filter

cond-mat.mtrl-sci2018

Building and exploring libraries of atomic defects in graphene: scanning transmission electron and scanning tunneling microscopy study

Maxim Ziatdinov, Ondrej Dyck, Bobby G. Sumpter +3

Population and distribution of defects is one of the primary parameters controlling materials functionality, are often non-ergodic and strongly dependent on synthesis history, and…

cond-mat.mtrl-sci2018

Learning from imperfections: constructing phase diagrams from atomic imaging of fluctuations

Lukas Vlcek, Maxim A. Ziatdinov, Alexander Tselev +3

Materials characterization and property measurements are a cornerstone of material science, providing feedback from synthesis to applications. Traditionally, a single sample is use…

cond-mat.mtrl-sci2018★ 170 cited

Deep Learning Analysis of Defect and Phase Evolution During Electron Beam Induced Transformations in WS2

Artem Maksov, Ondrej Dyck, Kai Wang +7

Understanding elementary mechanisms behind solid-state phase transformations and reactions is the key to optimizing desired functional properties of many technologically relevant m…

cond-mat.mtrl-sci2018

Mapping mesoscopic phase evolution during e-beam induced transformations via deep learning of atomically resolved images

Rama K. Vasudevan, Nouamane Laanait, Erik M. Ferragut +7

Understanding transformations under electron beam irradiation requires mapping the structural phases and their evolution in real time. To date, this has mostly been a manual endeav…

cond-mat.mtrl-sci2018★ 430 cited

Deep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations

Maxim Ziatdinov, Ondrej Dyck, Artem Maksov +7

Recent advances in scanning transmission electron and scanning probe microscopies have opened exciting opportunities in probing the materials structural parameters and various func…

cond-mat.mtrl-sci2018★ 6 cited

Deep analytics of atomically-resolved images: manifest and latent features

Maxim Ziatdinov, Ondrej Dyck, Artem Maksov +7

Recent advances in scanning transmission electron and scanning tunneling microscopies allow researchers to measure materials structural and electronic properties, such as atomic di…