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© 2022 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 (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

In this study, AlN epilayers were grown by ammonia-assisted molecular beam epitaxy on 3 nm h-BN grown on c-sapphire substrates. Their structural properties were investigated by comparing as-grown and postgrowth annealed layers. The role of annealing on the crystalline quality and surface morphology was studied as a function of AlN thickness and the annealing duration and temperature. Optimum annealing conditions were identified. The results of X-ray diffraction showed that optimization of the annealing recipe led to a significant reduction in the symmetric (0 0 0 2) and skew symmetric (1 0 −1 1) reflections, which was associated with a reduction in edge and mixed threading dislocation densities (TDDs). Furthermore, the impact on the crystalline structure of AlN and its surface was studied, and the results showed a transition from a surface with high roughness to a smoother surface morphology with a significant reduction in roughness. In addition, the annealing duration was increased at 1650 °C to further understand the impact on both AlN and h-BN, and the results showed a diffusion interplay between AlN and h-BN. Finally, an AlN layer was regrown on the top of an annealed template, which led to large terraces with atomic steps and low roughness.

Details

Title
Crystalline Quality and Surface Morphology Improvement of Face-to-Face Annealed MBE-Grown AlN on h-BN
Author
Zaiter, Aly 1   VIAFID ORCID Logo  ; Michon, Adrien 1 ; Nemoz, Maud 1   VIAFID ORCID Logo  ; Courville, Aimeric 1 ; Vennéguès, Philippe 1 ; Ottapilakkal, Vishnu 2 ; Vuong, Phuong 2   VIAFID ORCID Logo  ; Sundaram, Suresh 3 ; Ougazzaden, Abdallah 4   VIAFID ORCID Logo  ; Brault, Julien 1   VIAFID ORCID Logo 

 Université Côte d’Azur, CNRS-CRHEA, French National Center for Scientific Research, 06560 Valbonne, France; [email protected] (A.M.); [email protected] (M.N.); [email protected] (A.C.); [email protected] (P.V.) 
 French National Center for Scientific Research, IRL 2958 Georgia Tech, 2 rue Marconi, 57070 Metz, France; [email protected] (V.O.); [email protected] (P.V.); [email protected] (S.S.); [email protected] (A.O.) 
 French National Center for Scientific Research, IRL 2958 Georgia Tech, 2 rue Marconi, 57070 Metz, France; [email protected] (V.O.); [email protected] (P.V.); [email protected] (S.S.); [email protected] (A.O.); Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA 30332-0250, USA; Georgia Tech-Lorraine, 2 rue Marconi, 57070 Metz, France 
 French National Center for Scientific Research, IRL 2958 Georgia Tech, 2 rue Marconi, 57070 Metz, France; [email protected] (V.O.); [email protected] (P.V.); [email protected] (S.S.); [email protected] (A.O.); Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA 30332-0250, USA 
First page
8602
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
19961944
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2748556375
Copyright
© 2022 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 (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.