Comparing three quantification methods on N/Si ratio analysis using electron energy loss spectroscopy (EELS).

3D NAND EELS Fourier-log deconvolution Jump ratio Quantitative composition analysis STEM

Journal

Micron (Oxford, England : 1993)
ISSN: 1878-4291
Titre abrégé: Micron
Pays: England
ID NLM: 9312850

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 25 01 2022
revised: 23 03 2022
accepted: 26 03 2022
pubmed: 8 4 2022
medline: 8 4 2022
entrez: 7 4 2022
Statut: ppublish

Résumé

Precision elemental analysis by EELS at a nano-meter scale is a desirable goal for industrial application, as well as basic scientific research on advanced material analysis. However, sample thickness variation leads to a systematic error in element quantification due to electron plural scattering events and prevents it to be a useful quantitative analytic method. In this paper, we compared three methods to minimize thickness effect: Fourier-log deconvolution, Jump ratio, and Si K-edge by quantifying the N/Si ratio versus different thickness on a standard Si

Identifiants

pubmed: 35390752
pii: S0968-4328(22)00059-2
doi: 10.1016/j.micron.2022.103263
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103263

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

Xue Rui (X)

Micron Technology Inc., 8000 S Federal Way, Boise, ID 83716, USA. Electronic address: xrui@micron.com.

Yun-Yu Wang (YY)

Micron Technology Inc., 8000 S Federal Way, Boise, ID 83716, USA. Electronic address: yunyuwang@micron.com.

Shixin Wang (S)

Micron Technology Inc., 8000 S Federal Way, Boise, ID 83716, USA.

Sook Fun Chan (SF)

Micron Technology Inc., 8000 S Federal Way, Boise, ID 83716, USA.

Qiang Jin (Q)

Micron Technology Inc., 8000 S Federal Way, Boise, ID 83716, USA.

Classifications MeSH