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Local coexistence of VO(2) phases revealed by deep data analysis
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 stab...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4935893/ https://www.ncbi.nlm.nih.gov/pubmed/27384473 http://dx.doi.org/10.1038/srep29216 |
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author | Strelcov, Evgheni Ievlev, Anton Belianinov, Alex Tselev, Alexander Kolmakov, Andrei Kalinin, Sergei V. |
author_facet | Strelcov, Evgheni Ievlev, Anton Belianinov, Alex Tselev, Alexander Kolmakov, Andrei Kalinin, Sergei V. |
author_sort | Strelcov, Evgheni |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4935893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49358932016-07-08 Local coexistence of VO(2) phases revealed by deep data analysis Strelcov, Evgheni Ievlev, Anton Belianinov, Alex Tselev, Alexander Kolmakov, Andrei Kalinin, Sergei V. Sci Rep Article 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. Nature Publishing Group 2016-07-07 /pmc/articles/PMC4935893/ /pubmed/27384473 http://dx.doi.org/10.1038/srep29216 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Strelcov, Evgheni Ievlev, Anton Belianinov, Alex Tselev, Alexander Kolmakov, Andrei Kalinin, Sergei V. Local coexistence of VO(2) phases revealed by deep data analysis |
title | Local coexistence of VO(2) phases revealed by deep data analysis |
title_full | Local coexistence of VO(2) phases revealed by deep data analysis |
title_fullStr | Local coexistence of VO(2) phases revealed by deep data analysis |
title_full_unstemmed | Local coexistence of VO(2) phases revealed by deep data analysis |
title_short | Local coexistence of VO(2) phases revealed by deep data analysis |
title_sort | local coexistence of vo(2) phases revealed by deep data analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4935893/ https://www.ncbi.nlm.nih.gov/pubmed/27384473 http://dx.doi.org/10.1038/srep29216 |
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