16 citations · 16 across the 3 of their papers we have counts for
6 papers
Fast Scanning Probe Microscopy via Machine Learning: Non-rectangular scans with compressed sensing and Gaussian process optimization
Kyle P. Kelley, Maxim Ziatdinov, Liam Collins +5
Fast scanning probe microscopy enabled via machine learning allows for a broad range of nanoscale, temporally resolved physics to be uncovered. However, such examples for functiona…
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…
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…
Piezoresponse phase as variable in electromechanical characterization
Sabine M. Neumayer, Sahar Saremi, Lane W. Martin +5
Piezoresponse force microscopy (PFM) is a powerful characterization technique to readily image and manipulate ferroelectrics domains. PFM gives insight into the strength of local p…
Competing Phases in Epitaxial Vanadium Dioxide at Nanoscale
Yogesh Sharma, Martin V. Holt, Nouamane Laanait +11
Phase competition in correlated oxides offers tantalizing opportunities as many intriguing physical phenomena occur near the phase transitions. Owing to a sharp metal-insulator tra…
Giant negative electrostriction and dielectric tunability in a van der Waals layered ferroelectric
Sabine M. Neumayer, Eugene A. Eliseev, Michael A. Susner +11
The interest in ferroelectric van der Waals crystals arises from the potential to realize ultrathin ferroic systems owing to the reduced surface energy of these materials and the l…