Characterisation of intergrowth in metal oxide materials using structure-mining: the case of γ-MnO <sub>2</sub>
Nicolas P. L. Magnard, Andy S. Anker, Olivia Aalling‐Frederiksen, Andrea Kirsch, Kirsten M. Ø. Jensen
Abstract
A methodology for characterisation of γ-MnO 2 intergrowths has been developed. By combining supercell modelling, structure-mining and machine learning, both qualitative and quantitative information on intergrowth domain distributions are extracted.
Topics & Concepts
OxideMetalMaterials scienceNanotechnologyMetallurgyAdvanced materials and compositesElectronic and Structural Properties of OxidesFerroelectric and Piezoelectric Materials