Data encoding based on the shape of the ferroelectric domains produced by a scanning probe microscopy tip

Ievlev, Anton; Kalinin, Sergei V.

doi:10.1039/C5NR02443A

Title: Data encoding based on the shape of the ferroelectric domains produced by a scanning probe microscopy tip

Journal Article · Thu May 28 00:00:00 EDT 2015 · Nanoscale

DOI:https://doi.org/10.1039/C5NR02443A· OSTI ID:1185599

Ievlev, Anton ^[1]; Kalinin, Sergei V. ^[1]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Ferroelectric materials are broadly considered for information storage due to extremely high storage and information processing densities they enable. To date, ferroelectric based data storage has invariably relied on formation of cylindrical domains, allowing for binary information encoding. Here we demonstrate and explore the potential of high-density encoding based on domain morphology. We explore the domain morphogenesis during the tip-induced polarization switching by sequences of positive and negative pulses in a lithium niobate single-crystal and demonstrate the principal of information coding by shape and size of the domains. We applied cross-correlation and neural network approaches for recognition of the switching sequence by the shape of the resulting domains and establish optimal parameters for domain shape recognition. These studies both provide insight into the highly non-trivial mechanism of domain switching and potentially establish a new paradigm for multilevel information storage and content retrieval memories. Furthermore, this approach opens a pathway to exploration of domain switching mechanisms via shape analysis.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Center for Nanophase Materials Sciences (CNMS)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1185599

Journal Information:: Nanoscale, Vol. 7, Issue 25; ISSN 2040-3364

Publisher:: Royal Society of ChemistryCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 11 works

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Self-consistent theory of nanodomain formation on nonpolar surfaces of ferroelectrics Morozovska, Anna N.; Ievlev, Anton V.; Obukhovskii, Vyacheslav V. Physical Review B, Vol. 93, Issue 16 https://doi.org/10.1103/physrevb.93.165439	journal	April 2016
Big data and deep data in scanning and electron microscopies: deriving functionality from multidimensional data sets Belianinov, Alex; Vasudevan, Rama; Strelcov, Evgheni Advanced Structural and Chemical Imaging, Vol. 1, Issue 1 https://doi.org/10.1186/s40679-015-0006-6	journal	May 2015

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