430 citations · 1.3k across the 32 of their papers we have counts for
21 papers · 1 filter
Doping transition-metal atoms in graphene for atomic-scale tailoring of electronic, magnetic, and quantum topological properties
Ondrej Dyck, Lizhi Zhang, Mina Yoon +7
Atomic-scale fabrication is an outstanding challenge and overarching goal for the nanoscience community. The practical implementation of moving and fixing atoms to a structure is n…
Doping of Cr in Graphene Using Electron Beam Manipulation for Functional Defect Engineering
Ondrej Dyck, Mina Yoon, Lizhi Zhang +3
Chromium atoms in graphene have been proposed to exhibit magnetic moments and spin-selective conducting states depending on the local bonding geometry within the graphene structure…
Direct-Writing Atom-by-Atom
Ondrej Dyck, Andrew R. Lupini, Stephen Jesse
Direct-write processes enable the alteration or deposition of materials in a continuous, directable, sequential fashion. In this work we demonstrate an electron beam direct-write p…
Electron-beam Introduction of Heteroatomic Pt-Si Structures in Graphene
Ondrej Dyck, Cheng Zhang, Philip D. Rack +5
Electron-beam (e-beam) manipulation of single dopant atoms in an aberration-corrected scanning transmission electron microscope is emerging as a method for directed atomic motion a…
Automated experiment in 4D-STEM: exploring emergent physics and structural behaviors
Kevin M. Roccapriore, Ondrej Dyck, Mark P. Oxley +2
Automated experiments in 4D Scanning Transmission Electron Microscopy are implemented for rapid discovery of local structures, symmetry-breaking distortions, and internal electric…
Towards Automating Structural Discovery in Scanning Transmission Electron Microscopy
Nicole Creange, Ondrej Dyck, Rama K. Vasudevan +2
Scanning transmission electron microscopy (STEM) is now the primary tool for exploring functional materials on the atomic level. Often, features of interest are highly localized in…
Van der Waals Epitaxy on Freestanding Monolayer Graphene Membrane by MBE
Jason Lapano, Ondrej Dyck, Andrew Lupini +8
Research on two-dimensional materials has expanded over the past two decades to become a central theme in condensed matter research today. Significant advances have been made in th…
Unsupervised Machine Learning Discovery of Chemical and Physical Transformation Pathways from Imaging Data
Sergei V. Kalinin, Ondrej Dyck, Ayana Ghosh +4
We show that unsupervised machine learning can be used to learn physical and chemical transformation pathways from the observational microscopic data, as demonstrated for atomicall…
Exploring order parameters and dynamic processes in disordered systems via variational autoencoders
Sergei V. Kalinin, Ondrej Dyck, Stephen Jesse +1
We suggest and implement an approach for the bottom-up description of systems undergoing large-scale structural changes and chemical transformations from dynamic atomically resolve…
Atomic mechanisms for the Si atom dynamics in graphene: chemical transformations at the edge and in the bulk
Maxim Ziatdinov, Ondrej Dyck, Stephen Jesse +1
Recent advances in scanning transmission electron microscopy (STEM) allow to observe solid-state transformations and reactions in materials induced by thermal stimulus or electron…
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…
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…
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…
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…
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…
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…
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…
E-beam manipulation of Si atoms on graphene edges with aberration-corrected STEM
Ondrej Dyck, Songkil Kim, Sergei V. Kalinin +1
The burgeoning field of atomic level material control holds great promise for future breakthroughs in quantum and memristive device manufacture and fundamental studies of atomic-sc…
Assembling Di- and Multiatomic Si Clusters in Graphene via Electron Beam Manipulation
Ondrej Dyck, Songkil Kim, Elisa Jimenez-Izal +3
We demonstrate assembly of di-, tri- and tetrameric Si clusters on the graphene surface using sub-atomically focused electron beam of a scanning transmission electron microscope. H…
Mitigating E-beam-induced Hydrocarbon Deposition on Graphene for Atomic-Scale Scanning Transmission Electron Microscopy Studies
Ondrej Dyck, Songkil Kim, Sergei V. Kalinin +1
CVD grown graphene used in (scanning) transmission electron microscopy ((S)TEM) studies must undergo a careful transfer of the one-atom-thick membrane from the growth surface (typi…
Single atom manipulation and control in a scanning transmission electron microscope
Ondrej Dyck, Songkil Kim, Sergei V. Kalinin +1
We demonstrate that the sub-atomically focused beam of a scanning transmission electron microscope (STEM) can be used to controllably manipulate individual dopant atoms in a 2D gra…