Deep learning for exploring ultra-thin ferroelectrics with highly improved sensitivity of piezorespo...
Deep learning for exploring ultra-thin ferroelectrics with highly improved sensitivity of piezoresponse force microscopy
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Hafnium oxide-based ferroelectrics have been extensively studied because of their existing ferroelectricity, even in ultra-thin film form. However, studying the weak response from ultra-thin film requires improved measurement sensitivity. In general, resonance-enhanced piezoresponse force microscopy (PFM) has been used to characterize ferroelectric...
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Deep learning for exploring ultra-thin ferroelectrics with highly improved sensitivity of piezoresponse force microscopy
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TN_cdi_doaj_primary_oai_doaj_org_article_12264c3e13d143369d9d4bf4c8b5ec87
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_12264c3e13d143369d9d4bf4c8b5ec87
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2057-3960
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2057-3960
DOI
10.1038/s41524-023-00982-0
