Metal–insulator transition tuned by oxygen vacancy migration across TiO2/VO2 interface

Qiyang Lu, Changhee Sohn, Guoxiang Hu, Xiang Gao, Matthew F. Chisholm, Ilkka Kylänpää, Jaron T. Krogel, Paul R.C. Kent, Olle Heinonen, P. Ganesh, Ho Nyung Lee

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Oxygen defects are essential building blocks for designing functional oxides with remarkable properties, ranging from electrical and ionic conductivity to magnetism and ferroelectricity. Oxygen defects, despite being spatially localized, can profoundly alter global properties such as the crystal symmetry and electronic structure, thereby enabling emergent phenomena. In this work, we achieved tunable metal–insulator transitions (MIT) in oxide heterostructures by inducing interfacial oxygen vacancy migration. We chose the non-stoichiometric VO2-δ as a model system due to its near room temperature MIT temperature. We found that depositing a TiO2 capping layer on an epitaxial VO2 thin film can effectively reduce the resistance of the insulating phase in VO2, yielding a significantly reduced ROFF/RON ratio. We systematically studied the TiO2/VO2 heterostructures by structural and transport measurements, X-ray photoelectron spectroscopy, and ab initio calculations and found that oxygen vacancy migration from TiO2 to VO2 is responsible for the suppression of the MIT. Our findings underscore the importance of the interfacial oxygen vacancy migration and redistribution in controlling the electronic structure and emergent functionality of the heterostructure, thereby providing a new approach to designing oxide heterostructures for novel ionotronics and neuromorphic-computing devices.

Original languageEnglish
Article number18554
JournalScientific Reports
Volume10
Issue number1
DOIs
StatePublished - Dec 1 2020

Funding

This work was supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division (synthesis and microscopy) and as part of the Computational Materials Sciences Program and Center for Predictive Simulation of Functional Materials (theory and characterization). An award of computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) Program. This research used resources of the Argonne Leadership Computing Facility, which is a U.S. Department of Energy, Office of Science User Facility operated under contract DE-AC02-06CH11357. The DFT-calculations used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231.

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