abstract

• Graphene nanoribbons (GNRs) are unique structures with interesting optical and electronic properties which have great potential of application in fields such as optoelectronics and nanoelectronics. Synthesis and characterization techniques of GNRs are quite important for the development of such technologies. In the case of the structural characterization, it is essential to develop quick and non-destructive approaches in order to determine properties such as thickness and uniformity of GNRs. In the present work we report the structural characterization of GNRs grown on stepped SiC (0 0 0 1) surfaces by using a differential reflectance contrast (DRC) technique based on a near-field scanning optical microscope (NSOM). With this approach, it is possible to assess GNRs widths with dimension as small as 60 nm with a thickness of one or two graphene monolayers. Our results show that the DRC technique is powerful to analyze the morphology of GNRs grown on SiC (0 0 0 1) substrates which is a promising wafer-scale plattform for the development of graphene-based nanoelectronics. © 2020 Elsevier B.V.

authors

• Balderas Navarro Raúl Eduardo
• Castro García Ricardo
• Espinosa-Cuellar L.D.
• Flores-Rangel G.
• Lastras Martínez Alfonso
• Lastras Martínez Luis Felipe
• Lopes J.M.J.
• Ruiz-Cigarrillo O.

publication date

• 2021-01-01

funding provided via

• Consejo Nacional de Ciencia y Tecnología, CONACYT: 1577, CB-252867-2015, CB-256578-2015, FC-2016-1/2093  Grant
• Universidad Autónoma de San Luis Potosí, UASLP: C19 FAI 05-15.15  Grant
• Universidad Nacional de San Luis, UNSL  Grant

published in

• Applied Surface Science  Journal

keywords

• Graphene nanoribbons; Near-field scanning microscopy; Optical contrast; Optical properties Electronic properties; Graphene; Graphene nanoribbon; Nanoelectronics; Silicon; Silicon carbide; Silicon compounds; Graphene nanoribbons; Graphene nanoribbons (GNRs); Non destructive; Optical and electronic properties; Optical contrast; SiC(0 0 0 1); Structural characterization; Synthesis and characterizations; Nanoribbons

Digital Object Identifier (DOI)

• 10.1016/j.apsusc.2020.147710

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volume

• 536