Oxygen Vacancy Injection as a Pathway to Enhancing Electromechanical Response in Ferroelectrics

Kyle P. Kelley, Anna N. Morozovska, Eugene A. Eliseev, Vinit Sharma, Dundar E. Yilmaz, Adri C.T. van Duin, Panchapakesan Ganesh, Albina Borisevich, Stephen Jesse, Peter Maksymovych, Nina Balke, Sergei V. Kalinin, Rama K. Vasudevan

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Since their discovery in late 1940s, perovskite ferroelectric materials have become one of the central objects of condensed matter physics and materials science due to the broad spectrum of functional behaviors they exhibit, including electro-optical phenomena and strong electromechanical coupling. In such disordered materials, the static properties of defects such as oxygen vacancies are well explored but the dynamic effects are less understood. In this work, the first observation of enhanced electromechanical response in BaTiO3 thin films is reported driven via dynamic local oxygen vacancy control in piezoresponse force microscopy (PFM). A persistence in peizoelectricity past the bulk Curie temperature and an enhanced electromechanical response due to a created internal electric field that further enhances the intrinsic electrostriction are explicitly demonstrated. The findings are supported by a series of temperature dependent band excitation PFM in ultrahigh vacuum and a combination of modeling techniques including finite element modeling, reactive force field, and density functional theory. This study shows the pivotal role that dynamics of vacancies in complex oxides can play in determining functional properties and thus provides a new route toward– achieving enhanced ferroic response with higher functional temperature windows in ferroelectrics and other ferroic materials.

Original languageEnglish
Article number2106426
JournalAdvanced Materials
Volume34
Issue number2
DOIs
StatePublished - Jan 13 2022

Funding

The work was supported by the U.S. Department of Energy (DOE), Office of Science, Materials Sciences and Engineering Division (K.P.K. and R.K.V.). The PFM and portion of the modeling work (P.G.) was conducted at and supported by the Center for Nanophase Materials Sciences, which is a DOE Office of Science User Facility (S.V.K.). V.S. acknowledges the Extreme Science and Engineering Discovery Environment (XSEDE) allocation (Grant No. TG‐DMR200008) and the Infrastructure for Scientific Applications and Advanced Computing (ISAAC) at the University of Tennessee for the computational resources. D.E.Y. and A.C.T.v.D. would like to acknowledge Grant No. AFRL FA9451‐16‐1‐0041 and Air Force Office of Scientific Research (AFOSR) Multidisciplinary Research Program of the University Research Initiative (MURI) Contract No. FA9550‐19‐1‐0008. Part of the research (small systems) used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE‐AC02‐05CH11231. Part of the research (largest simulations) used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which was supported by the Office of Science of the U.S. Department of Energy under Contract No. DE‐AC05‐00OR22725, as awarded to P.G. via an Advanced Scientific Computing Research's Leadership Computing Challenge (ALCC) award.

FundersFunder number
Center for Nanophase Materials Sciences
Extreme Science and Engineering Discovery Environment
Infrastructure for Scientific Applications and Advanced Computing
XSEDETG‐DMR200008
U.S. Department of Energy
Air Force Office of Scientific ResearchFA9550‐19‐1‐0008
Office of Science
Lawrence Berkeley National LaboratoryDE‐AC02‐05CH11231, DE‐AC05‐00OR22725
University of TennesseeAFRL FA9451‐16‐1‐0041
Division of Materials Sciences and Engineering

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