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Title: Rapid mapping of polarization switching through complete information acquisition

Polarization switching in ferroelectric and multiferroic materials underpins a broad range of current and emergent applications, ranging from random access memories to field-effect transistors, and tunnelling devices. Switching in these materials is exquisitely sensitive to local defects and microstructure on the nanometre scale, necessitating spatially resolved high-resolution studies of these phenomena. Classical piezoresponse force microscopy and spectroscopy, although providing necessary spatial resolution, are fundamentally limited in data acquisition rates and energy resolution. This limitation stems from their two-tiered measurement protocol that combines slow (~1 s) switching and fast (~10 kHz–1 MHz) detection waveforms. Here we develop an approach for rapid probing of ferroelectric switching using direct strain detection of material response to probe bias. This approach, facilitated by high-sensitivity electronics and adaptive filtering, enables spectroscopic imaging at a rate 3,504 times faster the current state of the art, achieving high-veracity imaging of polarization dynamics in complex microstructures.
Authors:
ORCiD logo [1] ; ORCiD logo [1] ; ORCiD logo [1] ;  [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Center for Nanophase Materials Science (CNMS), Inst. for Functional Imaging of Materials
Publication Date:
Grant/Contract Number:
AC05-00OR22725
Type:
Accepted Manuscript
Journal Name:
Nature Communications
Additional Journal Information:
Journal Volume: 7; Journal ID: ISSN 2041-1723
Publisher:
Nature Publishing Group
Research Org:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Center for Nanophase Materials Sciences (CNMS)
Sponsoring Org:
USDOE Office of Science (SC)
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; Scanning probe microscopy; Imaging techniques; Atomic force microscopy
OSTI Identifier:
1334426

Somnath, Suhas, Belianinov, Alex, Kalinin, Sergei V., and Jesse, Stephen. Rapid mapping of polarization switching through complete information acquisition. United States: N. p., Web. doi:10.1038/ncomms13290.
Somnath, Suhas, Belianinov, Alex, Kalinin, Sergei V., & Jesse, Stephen. Rapid mapping of polarization switching through complete information acquisition. United States. doi:10.1038/ncomms13290.
Somnath, Suhas, Belianinov, Alex, Kalinin, Sergei V., and Jesse, Stephen. 2016. "Rapid mapping of polarization switching through complete information acquisition". United States. doi:10.1038/ncomms13290. https://www.osti.gov/servlets/purl/1334426.
@article{osti_1334426,
title = {Rapid mapping of polarization switching through complete information acquisition},
author = {Somnath, Suhas and Belianinov, Alex and Kalinin, Sergei V. and Jesse, Stephen},
abstractNote = {Polarization switching in ferroelectric and multiferroic materials underpins a broad range of current and emergent applications, ranging from random access memories to field-effect transistors, and tunnelling devices. Switching in these materials is exquisitely sensitive to local defects and microstructure on the nanometre scale, necessitating spatially resolved high-resolution studies of these phenomena. Classical piezoresponse force microscopy and spectroscopy, although providing necessary spatial resolution, are fundamentally limited in data acquisition rates and energy resolution. This limitation stems from their two-tiered measurement protocol that combines slow (~1 s) switching and fast (~10 kHz–1 MHz) detection waveforms. Here we develop an approach for rapid probing of ferroelectric switching using direct strain detection of material response to probe bias. This approach, facilitated by high-sensitivity electronics and adaptive filtering, enables spectroscopic imaging at a rate 3,504 times faster the current state of the art, achieving high-veracity imaging of polarization dynamics in complex microstructures.},
doi = {10.1038/ncomms13290},
journal = {Nature Communications},
number = ,
volume = 7,
place = {United States},
year = {2016},
month = {12}
}