4.6 Article

Sub-10 nm Probing of Ferroelectricity in Heterogeneous Materials by Machine Learning Enabled Contact Kelvin Probe Force Microscopy

期刊

ACS APPLIED ELECTRONIC MATERIALS
卷 3, 期 10, 页码 4409-4417

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsaelm.1c00569

关键词

ferroelectricity; nanoscale domains; contact Kelvin probe force microscopy; heterogeneous materials; k-means clustering; machine learning; BaTiO3

资金

  1. U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), Materials Sciences and Engineering Division
  2. Center for Nanophase Materials Sciences, a US DOE Office of Science User Facility

向作者/读者索取更多资源

Reducing the dimensions of ferroelectric materials to the nanoscale affects the polarization pattern and switching ability. By using contact Kelvin probe force microscopy combined with a response clustering algorithm, it is possible to measure ferroelectric response at a mapping resolution of 8 nm. This method allows for mapping complex ferroelectric polarization textures and understanding the polarization pattern changes across phase transitions.
Reducing the dimensions of ferroelectric materials down to the nanoscale has strong implications on the ferroelectric polarization pattern and on the ability to switch the polarization. As the size of ferroelectric domains shrinks to the nanometer scale, the heterogeneity of the polarization pattern becomes increasingly pronounced, enabling a large variety of possible polar textures in nanocrystalline and nanocomposite materials. Critical to the understanding of fundamental physics of such materials and hence their applications in electronic nanodevices is the ability to investigate their ferroelectric polarization at the nanoscale in a nondestructive way. We show that contact Kelvin probe force microscopy (cKPFM) combined with a k-means response clustering algorithm enables to measure the ferroelectric response at a mapping resolution of 8 nm. In a BaTiO3 thin film on silicon composed of tetragonal and hexagonal nanocrystals, we determine a nanoscale lateral distribution of discrete ferroelectric response clusters, fully consistent with the nanostructure determined by transmission electron microscopy. Moreover, we apply this data clustering method to the cKPFM responses measured at different temperatures, which allows us to follow the corresponding change in the polarization pattern as the Curie temperature is approached and across the phase transition. This work opens up perspectives for mapping complex ferroelectric polarization textures such as curled/swirled polar textures that can be stabilized in epitaxial heterostructures and more generally for mapping the polar domain distribution of any spatially highly heterogeneous ferroelectric materials.

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