Tensor factorization for elucidating mechanisms of piezoresponse relaxation via dynamic Piezoresponse Force Spectroscopy

Kelley, Kyle P.; Li, Linglong; Ren, Yao; Ehara, Yoshitaka; Funakubo, Hiroshi; Somnath, Suhas; Jesse, Stephen; Cao, Ye; Kannan, Ramakrishnan; Vasudevan, Rama K.; Kalinin, Sergei V.

doi:10.1038/s41524-020-00384-6

Title: Tensor factorization for elucidating mechanisms of piezoresponse relaxation via dynamic Piezoresponse Force Spectroscopy

Journal Article · 29 July 2020 · npj Computational Materials

DOI: https://doi.org/10.1038/s41524-020-00384-6 · OSTI ID:1649380

^[1]; Li, Linglong ^[2]; Ren, Yao ^[3]; Ehara, Yoshitaka ^[4]; Funakubo, Hiroshi ^[5];

^[1];

^[1]; Cao, Ye ^[3];

^[1];

^[1]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Tsinghua Univ., Beijing (China)
Univ. of Texas, Arlington, TX (United States)
Tokyo Institute of Technology (Japan); National Defense Academy, Yokosuka (Japan)
Tokyo Institute of Technology (Japan)

Spatially resolved time and voltage-dependent polarization dynamics in PbTiO₃ thin films is explored using dynamic piezoresponse force microscopy (D-PFM) in conjunction with interferometric displacement sensing. This approach gives rise to 4D data sets containing information on bias-dependent relaxation dynamics at each spatial location without long-range electrostatic artifacts. To interpret these data sets in the absence of defined physical models, we employ a non-negative tensor factorization method which clearly presents the data as a product of simple behaviors allowing for direct physics interpretation. Correspondingly, we perform phase-field modeling finding the existence of ‘hard’ and ‘soft’ domain wall edges. This approach can be extended to other multidimensional spectroscopies for which even exploratory data analysis leads to unsatisfactory results due to many components in the decomposition.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1649380

Journal Information:: npj Computational Materials, Journal Name: npj Computational Materials Journal Issue: 1 Vol. 6; ISSN 2057-3960

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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