453 citations · 3.6k across the 73 of their papers we have counts for
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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.…
Mapping Conductance and Switching Behavior of Graphene Devices In Situ
Ondrej Dyck, Jacob L. Swett, Charalambos Evangeli +3
Graphene has been proposed for use in various nanodevice designs, many of which harness emergent quantum properties for device functionality. However, visualization, measurement, a…
To switch or not to switch -- a machine learning approach for ferroelectricity
Sabine M. Neumayer, Stephen Jesse, Gabriel Velarde +5
With the advent of increasingly elaborate experimental techniques in physics, chemistry and materials sciences, measured data are becoming bigger and more complex. The observables…
Reconstruction of effective potential from statistical analysis of dynamic trajectories
Ali Yousefzadi Nobakht, Ondrej Dyck, David B. Lingerfelt +8
The broad incorporation of microscopic methods is yielding a wealth of information on atomic and mesoscale dynamics of individual atoms, molecules, and particles on surfaces and in…
Deep learning of interface structures from the 4D STEM data: cation intermixing vs. roughening
Mark P. Oxley, Junqi Yin, Nikolay Borodinov +6
Interface structures in complex oxides remain one of the active areas of condensed matter physics research, largely enabled by recent advances in scanning transmission electron mic…
Dynamic manipulation in piezoresponse force microscopy: creating non-equilibrium phases with large electromechanical response
Kyle P. Kelley, Yao Ren, Anna N. Morozovska +9
Domains walls and topological defects in ferroelectric materials have emerged as a powerful new paradigm for functional electronic devices including memory and logic. Similarly, wa…