Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Local coexistence of VO2 phases revealed by deep data analysis

Published

Author(s)

Evgheni Strelcov, Anton Ievlev, Alex Belianinov, Alexander Tselev, Andrei A. Kolmakov, Sergei Kalinin

Abstract

We report a synergistic approach of micro-Raman spectroscopic mapping and deep data analysis to study the distribution of crystallographic phases and ferroelastic domains in a defected Al-doped VO2 microcrystal. Bayesian linear unmixing revealed an uneven distribution of the T phase, which is stabilized by the surface defects and uneven local doping that went undetectable by other classical analysis techniques. This work demonstrates the impact of information recovery via statistical analysis and full mapping in spectroscopic studies of vanadium dioxide systems, which is commonly substituted by averaging or single point-probing approaches, both of which suffer from information misinterpretation due to low resolving power.
Citation
Scientific Reports
Volume
6

Keywords

metal-insulator transition, VO2, micro-Raman, domains, image analysis

Citation

Strelcov, E. , Ievlev, A. , Belianinov, A. , Tselev, A. , Kolmakov, A. and Kalinin, S. (2016), Local coexistence of VO2 phases revealed by deep data analysis, Scientific Reports, [online], https://doi.org/10.1038/srep29216 (Accessed May 26, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created July 7, 2016, Updated November 10, 2018