430 citations · 1.3k across the 32 of their papers we have counts for
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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…
Localised Solid-State Nanopore Fabrication via Controlled Breakdown using On-Chip Electrodes
Jasper P. Fried, Jacob L. Swett, Binoy Paulose Nadappuram +7
Controlled breakdown has recently emerged as a highly accessible technique to fabricate solid-state nanopores. However, in its most common form, controlled breakdown creates a sing…
Bridging microscopy with molecular dynamics and quantum simulations: An AtomAI based pipeline
Ayana Ghosh, Maxim Ziatdinov, Ondrej Dyck +2
Recent advances in (scanning) transmission electron microscopy have enabled routine generation of large volumes of high-veracity structural data on 2D and 3D materials, naturally o…
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…
Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy
Ayana Ghosh, Bobby G. Sumpter, Ondrej Dyck +2
Deep learning has emerged as a technique of choice for rapid feature extraction across imaging disciplines, allowing rapid conversion of the data streams to spatial or spatiotempor…