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Başlık: Ge nanocrystals embedded in ultrathin Si3N4 multilayers with SiO2 barriers
Yazarlar: Bahariqushchi, Rahim
Gündoğdu, Sinan
Uludağ Üniversitesi/Mühendislik Fakültesi/Elektrik-Elektronik Mühendisliği Bölümü.
Aydınlı, Atilla
ABI-7535-2020
7005432613
Anahtar kelimeler: Physics
Multilayers
Quantum-confinement
Germanium nanocrystals
Silicon
Nanostructures
Films
Annealing
Deposition
Film preparation
Germanium
High resolution transmission electron microscopy
Nanocrystals
Plasma CVD
Plasma enhanced chemical vapor deposition
Raman spectroscopy
Silicon nitride
Silicon oxides
Crystallinities
Ge nanocrystals
Germanium nanocrystals
Growth directions
Plasma enhanced chemical vapor depositions (PE CVD)
Silicon nitride matrix
Size dependent
Visible photoluminescence
Yayın Tarihi: 21-Şub-2017
Yayıncı: Elsevier
Atıf: Bahariqushchi, R. vd. (2017). ''Ge nanocrystals embedded in ultrathin Si3N4 multilayers with SiO2 barriers''. Superlattices and Microstructures, 104, 308-315.
Özet: Multilayers of germanium nanocrystals (NCs) embedded in thin films of silicon nitride matrix separated with SiO2 barriers have been fabricated using plasma enhanced chemical vapor deposition (PECVD). SiGeN/SiO2 alternating bilayers have been grown on quartz and Si substrates followed by post annealing in Ar ambient from 600 to 900 degrees C. High resolution transmission electron microscopy (HRTEM) as well as Raman spectroscopy show good crystallinity of Ge confined to SiGeN layers in samples annealed at 900 degrees C. Strong compressive stress for SiGeN/SiO2 structures were observed through Raman spectroscopy. Size, as well as NC-NC distance were controlled along the growth direction for multilayer samples by varying the thickness of bilayers. Visible photoluminescence (PL) at 2.3 and 3.1 eV with NC size dependent intensity is observed and possible origin of PL is discussed.
URI: https://doi.org/10.1016/j.spmi.2017.02.037
https://www.sciencedirect.com/science/article/pii/S074960361730143X
http://hdl.handle.net/11452/31165
ISSN: 0749-6036
Koleksiyonlarda Görünür:Scopus
Web of Science

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