most citedDoping transition-metal atoms in graphene for atomic-scale tailoring of electronic, magnetic, and quantum topological properties

68 citations · 147 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci202315 cited

Controlling hydrocarbon transport and electron beam induced deposition on single layer graphene: toward atomic scale synthesis in the scanning transmission electron microscope

Ondrej Dyck, Andrew R. Lupini, Philip D. Rack +2

Focused electron beam induced deposition (FEBID) is a direct write technique for depositing materials on a support substrate akin to 3D printing with an electron beam (e-beam). Opp…

cond-mat.mtrl-sci202368 cited

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…

cond-mat.mtrl-sci202336 cited

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…

cond-mat.mes-hall202325 cited

The role of temperature on defect diffusion and nanoscale patterning in graphene

Ondrej Dyck, Sinchul Yeom, Sarah Dillender +3

Graphene is of great scientific interest due to a variety of unique properties such as ballistic transport, spin selectivity, the quantum hall effect, and other quantum properties.…

cond-mat.mtrl-sci2023

Automatic and quantitative measurement of spectrometer aberrations

Yueming Guo, Andrew R. Lupini

The performance of electron energy-loss spectrometers can often be limited by their electron-optical aberrations. Due to recent developments in high energy-resolution and momentum-…

cond-mat.supr-con2023

Revealing intrinsic vortex-core states in Fe-based superconductors through machine-learning-driven discovery

Yueming Guo, Hu Miao, Qiang Zou +5

Electronic states within superconducting vortices hold crucial information about paring mechanisms and topology. While scanning tunneling microscopy/spectroscopy(STM/S) can image t…