Publication: Few-Layer Graphene as an Efficient Buffer for GaN/AlN Epitaxy on a SiO2/Si Substrate: A Joint Experimental and Theoretical Study
Дата
2022
Авторы
Borisenko, D. P.
Gusev, A. S.
Kargin, N. I.
Dobrokhotov, P. L.
Timofeev, A. A.
Labunov, V. A.
Mikhalik, M. M.
Katin, K. P.
Maslov, M. M.
Dzhumaev, P. S.
Journal Title
Journal ISSN
Volume Title
Издатель
Аннотация
Single-layer (SLG)/few-layer (FLG) and multilayer graphene (MLG) (andgt;15 layers) samples were obtained using the CVD method on high-textured Cu foil catalysts. In turn, plasma-assisted molecular beam epitaxy was applied to carry out the GaN graphene-assisted growth. A thin AlN layer was used at the initial stage to promote the nucleation process. The effect of graphene defectiveness and thickness on the quality of the GaN epilayers was studied. The bilayer graphene showed the lowest strain and provided optimal conditions for the growth of GaN/AlN. Theoretical studies based on the density functional theory have shown that the energy of interaction between graphene and AlN is almost the same as between graphite sheets (194 mJ/m2). However, the presence of vacancies and other defects as well as compression-induced ripples and nitrogen doping leads to a significant change in this energy. © 2022 by the authors.
Описание
Ключевые слова
buffer layer , CVD graphene , gallium nitride , GaN-on-Si technology , GaN/AlN , molecular beam epitaxy
Цитирование
Few-Layer Graphene as an Efficient Buffer for GaN/AlN Epitaxy on a SiO2/Si Substrate: A Joint Experimental and Theoretical Study / Borisenko, D.P. [et al.] // Applied Sciences (Switzerland). - 2022. - 12. - № 22. - 10.3390/app122211516
URI
https://www.doi.org/10.3390/app122211516
https://www.scopus.com/record/display.uri?eid=2-s2.0-85142840458&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000887043700001
https://openrepository.mephi.ru/handle/123456789/27620
https://www.scopus.com/record/display.uri?eid=2-s2.0-85142840458&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000887043700001
https://openrepository.mephi.ru/handle/123456789/27620