580
Views
9
CrossRef citations to date
0
Altmetric
E. Domain Engineering

Thickness Dependence of Domain-Wall Patterns in BiFeO3 Thin Films

, , &
Pages 41-48 | Received 08 Jul 2014, Accepted 24 Sep 2014, Published online: 06 Jul 2015
 

Abstract

Unique properties of domain walls in ferroelectrics have been recently discovered but methods of their controlled engineering remain underdeveloped. Here we investigate the domain structure of Bi0.9La0.1FeO3 epitaxial thin films with piezoelectric force microscopy and transmission electron microscopy. We show that with increasing Bi0.9La0.1FeO3 thickness, a transition from randomly-oriented 71° domain walls to 109° domain walls stripe occurs. At intermediate thicknesses, 71° and 109° domain walls coexist together with non-ferroelastic 180° domain walls. TEM cross-section images show complex domain structure due to the interplay between electrostatic constrains imposed by the SrRuO3 electrode and mechanical constrains imposed by the DyScO3 substrate.

Funding

The research leading to these results has received funding from the European Research Council under the EU 7th Framework Program (FP7/2007–2013)/ERC grant agreement no (268058) Mobile-W for the purchase of equipment and from Lithuanian-Swiss cooperation programme to reduce economic and social disparities within the enlarged European Union under project agreement No. CH-3-ŠMM-01/02 for the purchase of conductive AFM tips and substrates. The Swiss National Science Foundation (Grant number 200020_144454) is acknowledged for additional financial support used for TEM characterization.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 2,630.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.