Atomic-Scale Mapping and Quantification of Local Ruddlesden-Popper Phase Variations.

ABSTRACT: The Ruddlesden-Popper (A_n+1B_nO_3n+1) compounds are highly tunable materials whose functional properties can be dramatically impacted by their structural phase n. The negligible differences in formation energies for different n can produce local structural variations arising from small stoichiometric deviations. Here, we present a Python analysis platform to detect, measure, and quantify the presence of different n-phases based on atomic-resolution scanning transmission electron microscopy (STEM) images. We employ image phase analysis to identify horizontal Ruddlesden-Popper faults within the lattice images and quantify the local structure. Our semiautomated technique considers effects of finite projection thickness,

SUBMITTER: Fleck EE 

PROVIDER: S-EPMC9801418 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature