Raman signatures of ferroic domain walls captured by principal component analysis. (18th December 2017)

• Record Type: Journal Article
• Authors: Nataf, G F; Barrett, N; Kreisel, J; Guennou, M
• Is Part Of: Journal of physics. Volume 30:Number 3(2018)
• Publication Date: 2017-12-18
• Subjects: Raman -- multivariate statistical analysis -- domain wall; Condensed matter -- Periodicals; Matière condensée -- Périodiques; Vaste stoffen; Vloeistoffen; Natuurkunde; Electronic journals; Computer network resources; 530.4105
• DOI: 10.1088/1361-648X/aa9778
• Languages: English
• ISSNs: 0953-8984

Abstract

Abstract: Ferroic domain walls are currently investigated by several state-of-the art techniques in order to get a better understanding of their distinct, functional properties. Here, principal component analysis (PCA) of Raman maps is used to study ferroelectric domain walls (DWs) in LiNbO3 and ferroelastic DWs in NdGaO3 . It is shown that PCA allows us to quickly and reliably identify small Raman peak variations at ferroelectric DWs and that the value of a peak shift can be deduced—accurately and without a priori —from a first order Taylor expansion of the spectra. The ability of PCA to separate the contribution of ferroelastic domains and DWs to Raman spectra is emphasized. More generally, our results provide a novel route for the statistical analysis of any property mapped across a DW.