Local coexistence of VO 2 phases revealed by deep data analysis

Evgheni Strelcov; Anton Ievlev; Alex Belianinov; Alexander Tselev; Andrei Kolmakov; Sergei V. Kalinin

doi:10.1038/srep29216

Local coexistence of VO 2 phases revealed by deep data analysis

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

Functional Atomic Force Microscopy Group

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

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.

Original language	English
Article number	29216
Journal	Scientific Reports
Volume	6
DOIs	https://doi.org/10.1038/srep29216
State	Published - Jul 7 2016

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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.",

author = "Evgheni Strelcov and Anton Ievlev and Alex Belianinov and Alexander Tselev and Andrei Kolmakov and Kalinin, {Sergei V.}",

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AU - Strelcov, Evgheni

AU - Ievlev, Anton

AU - Belianinov, Alex

AU - Tselev, Alexander

AU - Kolmakov, Andrei

AU - Kalinin, Sergei V.

PY - 2016/7/7

Y1 - 2016/7/7

N2 - 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.

AB - 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.

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VL - 6

JO - Scientific Reports

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M1 - 29216

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Local coexistence of VO 2 phases revealed by deep data analysis

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