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20162023
most citedDeep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations

430 citations · 657 across the 16 of their papers we have counts for

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Showing 2018 · cond-mat.mtrl-sciShow all

7 papers · 2 filters

cond-mat.mtrl-sci2018

Tracking atomic structure evolution during directed electron beam induced Si-atom motion in graphene via deep machine learning

Maxim Ziatdinov, Stephen Jesse, Bobby G. Sumpter +2

Using electron beam manipulation, we enable deterministic motion of individual Si atoms in graphene along predefined trajectories. Structural evolution during the dopant motion was…

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

Single atom force measurements: mapping potential energy landscapes via electron beam induced single atom dynamics

Ondrej Dyck, Feng Bao, Maxim Ziatdinov +8

In the last decade, the atomically focused beam of a scanning transmission electron microscope (STEM) was shown to induce a broad set of transformations of material structure, open…

cond-mat.mtrl-sci2018

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…