Cargando…

Stress Distribution Profile Imaging With Spectral Fabry-Perot Interferometry in Thin Layer Substrates for Surface Micromachining

We have used spectral two-layer interferometry (STLI) imaging for estimation of the stress distribution profiles (SDPs) in thin film substrates, enabling fast and reliable all-optical methodology for the evaluation of pre-stress topography profiles in silicon wafers deposited with thin films. Specif...

Descripción completa

Detalles Bibliográficos
Autores principales: Inzelberg, Adam, Linzon, Yoav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189764/
https://www.ncbi.nlm.nih.gov/pubmed/30400485
http://dx.doi.org/10.3390/mi8100294
_version_ 1783363425385054208
author Inzelberg, Adam
Linzon, Yoav
author_facet Inzelberg, Adam
Linzon, Yoav
author_sort Inzelberg, Adam
collection PubMed
description We have used spectral two-layer interferometry (STLI) imaging for estimation of the stress distribution profiles (SDPs) in thin film substrates, enabling fast and reliable all-optical methodology for the evaluation of pre-stress topography profiles in silicon wafers deposited with thin films. Specifically, in polycrystalline silicon (PS) and silicon nitride (SN) thin films, we demonstrate a nondestructive, systematic, and robust capability for consistent stress distribution profile (SDP) evaluation relying on STLI. In particular, for PS and SN devices, the SDP estimation is consistent and is compared with complementary characterization of the films.
format Online
Article
Text
id pubmed-6189764
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-61897642018-11-01 Stress Distribution Profile Imaging With Spectral Fabry-Perot Interferometry in Thin Layer Substrates for Surface Micromachining Inzelberg, Adam Linzon, Yoav Micromachines (Basel) Article We have used spectral two-layer interferometry (STLI) imaging for estimation of the stress distribution profiles (SDPs) in thin film substrates, enabling fast and reliable all-optical methodology for the evaluation of pre-stress topography profiles in silicon wafers deposited with thin films. Specifically, in polycrystalline silicon (PS) and silicon nitride (SN) thin films, we demonstrate a nondestructive, systematic, and robust capability for consistent stress distribution profile (SDP) evaluation relying on STLI. In particular, for PS and SN devices, the SDP estimation is consistent and is compared with complementary characterization of the films. MDPI 2017-09-30 /pmc/articles/PMC6189764/ /pubmed/30400485 http://dx.doi.org/10.3390/mi8100294 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Inzelberg, Adam
Linzon, Yoav
Stress Distribution Profile Imaging With Spectral Fabry-Perot Interferometry in Thin Layer Substrates for Surface Micromachining
title Stress Distribution Profile Imaging With Spectral Fabry-Perot Interferometry in Thin Layer Substrates for Surface Micromachining
title_full Stress Distribution Profile Imaging With Spectral Fabry-Perot Interferometry in Thin Layer Substrates for Surface Micromachining
title_fullStr Stress Distribution Profile Imaging With Spectral Fabry-Perot Interferometry in Thin Layer Substrates for Surface Micromachining
title_full_unstemmed Stress Distribution Profile Imaging With Spectral Fabry-Perot Interferometry in Thin Layer Substrates for Surface Micromachining
title_short Stress Distribution Profile Imaging With Spectral Fabry-Perot Interferometry in Thin Layer Substrates for Surface Micromachining
title_sort stress distribution profile imaging with spectral fabry-perot interferometry in thin layer substrates for surface micromachining
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189764/
https://www.ncbi.nlm.nih.gov/pubmed/30400485
http://dx.doi.org/10.3390/mi8100294
work_keys_str_mv AT inzelbergadam stressdistributionprofileimagingwithspectralfabryperotinterferometryinthinlayersubstratesforsurfacemicromachining
AT linzonyoav stressdistributionprofileimagingwithspectralfabryperotinterferometryinthinlayersubstratesforsurfacemicromachining