Imaging of ferroelectric properties of sinter by means of Piezoresponse Force Microscopy - Open Research Data - Bridge of Knowledge

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Imaging of ferroelectric properties of sinter by means of Piezoresponse Force Microscopy

Description

Ferroelectricity is a property of certain materials [1], characterized by a spontaneous electrical polarization that can be reversed by applying an external electric field. Ferroelectric properties can be used to make capacitors with adjustable capacity. The permeability of ferroelectrics is not only regulated, but usually also very high, especially around the phase transition temperature. For this reason, ferroelectric capacitors have a small physical size compared to dielectric capacitors of similar capacity. The spontaneous polarization of ferroelectric materials implies a hysteresis effect that can be used to construct RAM memory circuits. Ferroelectric materials are also characterized by piezoelectric properties. The latter can be studied using one of the variants of atomic force microscopy. In the described technique, an alternating electric field applied across the piezoelectric material sample induces a mechanical deformation of the test material, which is transferred to the AFM probe cantilever. The presented collection contains the results of imaging the sinter surface, made in order to verify the hypothesis of the ferroelectricity of the new material, as well as to prepare for further spectroscopic measurements. The collection contains 12 maps recorded with the Piezoresponese Force Microscopy technique, using the CDT-NCHR probe.

[1]       J. Xiao, J. Chang, B. Li, F.H. Isikgor, D. Wang, Z. Fan, Z. Lin, J. Ouyang, K. Zeng, J. Chen, Room temperature ferroelectricity of hybrid organic-inorganic perovskites with mixed iodine and bromine, J. Mater. Chem. A. 6 (2018) 9665–9676. doi:10.1039/c7ta09967c.

Dataset file

set09.mdt
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License:
Creative Commons: by-nc 4.0 open in new tab
CC BY-NC
Non-commercial
Raw data:
Data contained in dataset was not processed.
Software:
Gwyddion

Details

Year of publication:
2021
Verification date:
2021-05-29
Dataset language:
English
Fields of science:
  • chemical sciences (Natural sciences)
DOI:
DOI ID 10.34808/dc2m-4809 open in new tab
Series:
Verified by:
Gdańsk University of Technology

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