Dresden 2017 – wissenschaftliches Programm
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DF: Fachverband Dielektrische Festkörper
DF 11: Ferroics - Domains, Domain Walls and Skyrmions II
DF 11.8: Vortrag
Mittwoch, 22. März 2017, 11:45–12:00, WIL B321
Smart correction of SPM time series: can data analytics help us extract correlations? — •Iaroslav Gaponenko1, Philippe Tückmantel1, Benedikt Ziegler2, Guillaume Rapin1, Manisha Chhikara1, and Patrycja Paruch1 — 1Department of Quantum Matter Physics, University of Geneva, 1211 Geneva, Switzerland — 2Combine AB, 413 04 Gothenburg, Sweden
Since its inception, scanning probe microscopy (SPM) has established itself as the tool of choice for probing surfaces and functionalities at the nanoscale. Although recent developments in the instrumentation have greatly improved the metrological aspects of SPM, it is still plagued by the drifts and nonlinearities of the piezoelectric actuators underlying the precise nanoscale motion.
In this work, we present a novel computer-vision-based distortion correction algorithm for offline processing of functional SPM images, allowing two images to be directly overlaid with minimal error - correlating the position with time evolution and local functionality.
The algorithm is applied to two very different systems. First, the characteristics of surface folds and wrinkles in CVD graphene deposited on a polyethylene substrate are probed as a function of applied strain. Secondly, we demonstrate the tracking of polarization switching in an epitaxial Pb(Zr0.2Ti0.8)O3 thin film during high-speed continuous scanning under applied tip bias. Thanks to the precise time-location-polarization correlation we can extract the regions of domain nucleation and track the motion of domain walls until the merging of the latter in avalanche-like events.