DocumentCode
614971
Title
Composition measurement of tri-layer SiGe stack using broadband spectroscopic ellipsometry
Author
Haensel, Leander ; Ygartua, Carlos ; Shu, Frank ; Haupt, Randy ; Anderson, Matthew ; Birk, Felipe Tijiwa ; Vaid, Alok
Author_Institution
FaST Div., KLA-Tencor Corp., Milpitas, CA, USA
fYear
2013
fDate
14-16 May 2013
Firstpage
231
Lastpage
236
Abstract
This paper discusses the development and implementation of a Broadband Spectroscopic Ellipsometry (BBSE) composition measurement to characterize a tri-layer stack consisting of 2 SiGe layers of different Germanium concentrations topped by an epitaxial Si layer. The designed experiment wafer set and the composition model development based on AES and XRD reference data are discussed. The spectral sensitivity of the composition model and the correlation to reference metrology are shown. Wafer to wafer and within wafer variation, stability and tool to tool matching performance are quantified based on the implementation of the composition model as an inline measurement for a 20nm development vehicle. The paper arrives at the conclusion that BBSE is a feasible high throughput metrology option for this application, while leaving room for improvement in future revisions of the model.
Keywords
Auger electron spectra; Ge-Si alloys; X-ray diffraction; chemical analysis; ellipsometry; multilayers; semiconductor epitaxial layers; AES reference data; BBSE; SiGe; XRD reference data; broadband spectroscopic ellipsometry; composition measurement; composition model development; epitaxial Si layer; germanium concentrations; reference metrology; tool matching performance; trilayer SiGe stack; wafer set; Correlation; Germanium; Metrology; Semiconductor device modeling; Silicon; Silicon germanium; X-ray scattering; BBSE; Composition; SiGe; multi; layer; metrology; spectroscopic ellipsometry; stack;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Semiconductor Manufacturing Conference (ASMC), 2013 24th Annual SEMI
Conference_Location
Saratoga Springs, NY
ISSN
1078-8743
Print_ISBN
978-1-4673-5006-8
Type
conf
DOI
10.1109/ASMC.2013.6552810
Filename
6552810
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