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Constraining Data Mining with Physical Models: Voltage- and Oxygen Pressure-Dependent Transport in Multiferroic Nanostructures
journal contribution
posted on 2015-10-14, 00:00 authored by Evgheni Strelcov, Alexei Belianinov, Ying-Hui Hsieh, Ying-Hao Chu, Sergei V. KalininDevelopment of new generation electronic
devices necessitates understanding and controlling the electronic
transport in ferroic, magnetic, and optical materials, which is hampered
by two factors. First, the complications of working at the nanoscale,
where interfaces, grain boundaries, defects, and so forth, dictate
the macroscopic characteristics. Second, the convolution of the response
signals stemming from the fact that several physical processes may
be activated simultaneously. Here, we present a method of solving
these challenges via a combination of atomic force microscopy and
data mining analysis techniques. Rational selection of the latter
allows application of physical constraints and enables direct interpretation
of the statistically significant behaviors in the framework of the
chosen physical model, thus distilling physical meaning out of raw
data. We demonstrate our approach with an example of deconvolution
of complex transport behavior in a bismuth ferrite–cobalt ferrite
nanocomposite in ambient and ultrahigh vacuum environments. Measured
signal is apportioned into four electronic transport patterns, showing
different dependence on partial oxygen and water vapor pressure. These
patterns are described in terms of Ohmic conductance and Schottky
emission models in the light of surface electrochemistry. Furthermore,
deep data analysis allows extraction of local dopant concentrations
and barrier heights empowering our understanding of the underlying
dynamic mechanisms of resistive switching.
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barrier heightsOhmic conductancetransport patternsPhysical Modelsdopant concentrationsRational selectiondata analysisunderstandingConstraining Data Mininggrain boundariesMultiferroic NanostructuresDevelopmentresponse signalssurface electrochemistrytransport behaviorSchottky emission modelswater vapor pressureultrahigh vacuum environmentsdata mining analysis techniquesforce microscopymacroscopic characteristicsferrite
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