Distilling nanoscale heterogeneity of amorphous silicon using tip-enhanced Raman spectroscopy (TERS) via multiresolution manifold learning

Short range atomic ordering quantification and nanoscale spatial resolution over a large area for amorphous materials is crucial for accelerating technology development but remain challenges. Here, the authors explore nanoscale heterogeneity of amorphous silicon by tip-enhanced Raman spectroscopy vi...

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Autores principales:	Guang Yang, Xin Li, Yongqiang Cheng, Mingchao Wang, Dong Ma, Alexei P. Sokolov, Sergei V. Kalinin, Gabriel M. Veith, Jagjit Nanda
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/5adf3a2cd5814557993a025fe15645b4
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spelling	oai:doaj.org-article:5adf3a2cd5814557993a025fe15645b42021-12-02T14:16:40ZDistilling nanoscale heterogeneity of amorphous silicon using tip-enhanced Raman spectroscopy (TERS) via multiresolution manifold learning10.1038/s41467-020-20691-22041-1723https://doaj.org/article/5adf3a2cd5814557993a025fe15645b42021-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20691-2https://doaj.org/toc/2041-1723Short range atomic ordering quantification and nanoscale spatial resolution over a large area for amorphous materials is crucial for accelerating technology development but remain challenges. Here, the authors explore nanoscale heterogeneity of amorphous silicon by tip-enhanced Raman spectroscopy via multiresolution manifold learning.Guang YangXin LiYongqiang ChengMingchao WangDong MaAlexei P. SokolovSergei V. KalininGabriel M. VeithJagjit NandaNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Guang Yang Xin Li Yongqiang Cheng Mingchao Wang Dong Ma Alexei P. Sokolov Sergei V. Kalinin Gabriel M. Veith Jagjit Nanda Distilling nanoscale heterogeneity of amorphous silicon using tip-enhanced Raman spectroscopy (TERS) via multiresolution manifold learning
description	Short range atomic ordering quantification and nanoscale spatial resolution over a large area for amorphous materials is crucial for accelerating technology development but remain challenges. Here, the authors explore nanoscale heterogeneity of amorphous silicon by tip-enhanced Raman spectroscopy via multiresolution manifold learning.
format	article
author	Guang Yang Xin Li Yongqiang Cheng Mingchao Wang Dong Ma Alexei P. Sokolov Sergei V. Kalinin Gabriel M. Veith Jagjit Nanda
author_facet	Guang Yang Xin Li Yongqiang Cheng Mingchao Wang Dong Ma Alexei P. Sokolov Sergei V. Kalinin Gabriel M. Veith Jagjit Nanda
author_sort	Guang Yang
title	Distilling nanoscale heterogeneity of amorphous silicon using tip-enhanced Raman spectroscopy (TERS) via multiresolution manifold learning
title_short	Distilling nanoscale heterogeneity of amorphous silicon using tip-enhanced Raman spectroscopy (TERS) via multiresolution manifold learning
title_full	Distilling nanoscale heterogeneity of amorphous silicon using tip-enhanced Raman spectroscopy (TERS) via multiresolution manifold learning
title_fullStr	Distilling nanoscale heterogeneity of amorphous silicon using tip-enhanced Raman spectroscopy (TERS) via multiresolution manifold learning
title_full_unstemmed	Distilling nanoscale heterogeneity of amorphous silicon using tip-enhanced Raman spectroscopy (TERS) via multiresolution manifold learning
title_sort	distilling nanoscale heterogeneity of amorphous silicon using tip-enhanced raman spectroscopy (ters) via multiresolution manifold learning
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/5adf3a2cd5814557993a025fe15645b4
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Distilling nanoscale heterogeneity of amorphous silicon using tip-enhanced Raman spectroscopy (TERS) via multiresolution manifold learning

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