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Title: Local coexistence of VO 2 phases revealed by deep data analysis

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 VO 2 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 such as PCA and SIMPLISMA. 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.

Authors:
 [1];  [2];  [2];  [3];  [2]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); National Inst. of Standards and Technology (NIST), Gaithersburg, MD (United States); Univ. of Maryland, College Park, MD (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. National Inst. of Standards and Technology (NIST), Gaithersburg, MD (United States)
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Center for Nanophase Materials Sciences (CNMS)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1324095
Grant/Contract Number:
AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Volume: 6; Journal ID: ISSN 2045-2322
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; Nanowires; Raman spectroscopy

Citation Formats

Strelcov, Evgheni, Ievlev, Anton, Tselev, Alexander, Kolmakov, Andrei, and Kalinin, Sergei V. Local coexistence of VO2 phases revealed by deep data analysis. United States: N. p., 2016. Web. doi:10.1038/srep29216.
Strelcov, Evgheni, Ievlev, Anton, Tselev, Alexander, Kolmakov, Andrei, & Kalinin, Sergei V. Local coexistence of VO2 phases revealed by deep data analysis. United States. doi:10.1038/srep29216.
Strelcov, Evgheni, Ievlev, Anton, Tselev, Alexander, Kolmakov, Andrei, and Kalinin, Sergei V. 2016. "Local coexistence of VO2 phases revealed by deep data analysis". United States. doi:10.1038/srep29216. https://www.osti.gov/servlets/purl/1324095.
@article{osti_1324095,
title = {Local coexistence of VO2 phases revealed by deep data analysis},
author = {Strelcov, Evgheni and Ievlev, Anton and Tselev, Alexander and Kolmakov, Andrei and Kalinin, Sergei V.},
abstractNote = {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 such as PCA and SIMPLISMA. 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.},
doi = {10.1038/srep29216},
journal = {Scientific Reports},
number = ,
volume = 6,
place = {United States},
year = 2016,
month = 7
}

Journal Article:
Free Publicly Available Full Text
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