235 citations · 897 across the 15 of their papers we have counts for
3 papers · 1 filter
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…