Probing polarization dynamics at specific domain configurations: Computer-vision based automated experiment in piezoresponse force microscopy-Reference-Cited by-同舟云学术

Probing polarization dynamics at specific domain configurations: Computer-vision based automated experiment in piezoresponse force microscopy

Published:2021-09-27 Issue:13 Volume:119 Page:132902
ISSN:0003-6951
Container-title:Applied Physics Letters
language:en
Short-container-title:Appl. Phys. Lett.

Author:

Kelley Kyle P.¹^ORCID,Kalinin Sergei V.¹^ORCID,Ziatdinov Maxim¹²^ORCID,Paull Oliver³,Sando Daniel³^ORCID,Nagarajan Valanoor³,Vasudevan Rama K.¹^ORCID,Jesse Stephen¹

Affiliation:

1. Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA

2. Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA

3. School of Materials Science and Engineering, UNSW Sydney, High Street, Kensington 2052, Australia

Funder

US Department of Energy, Office of Science, Materials Sciences and Engineering Division

Publisher

AIP Publishing

Subject

Physics and Astronomy (miscellaneous)

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0062046

Reference50 articles.

1. Domains in Ferroic Crystals and Thin Films

2. Encountering domains in ferroelectrics

3. Formation of 90° elastic domains during local 180° switching in epitaxial ferroelectric thin films

4. Twin walls and hierarchical mesoscopic structures

5. Chemical turnstile

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