AFM-IN-SEM ANALYSIS ON HETEROSTRUCTURE EDGES OF GRAPHENE AND HEXAGONAL BORON NITRIDE

1 KULIČEK Jaroslav
Co-authors:
2 YAMADA Takatoshi 3 TANIGUCHI Takashi 1 REZEK Bohuslav
Institutions:
1 Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic, EU, kulicjar@fel.cvut.cz
2 National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
3 National Institute for Material Science, Tsukuba, Japan
Conference:
15th International Conference on Nanomaterials - Research & Application, OREA Congress Hotel Brno, Czech Republic, EU, October 18 - 20, 2023
Proceedings:
Proceedings 15th International Conference on Nanomaterials - Research & Application
Pages:
405-409
ISBN:
978-80-88365-15-0
ISSN:
2694-930X
Published:
1st January 2024
Metrics:
275 views / 158 downloads
Abstract

Correlative microscopy methods have become significant due to the possibility of examining several material properties during one measurement. Atomic Force Microscopy in Scanning Electron Microscopy (AFM-in-SEM) is a correlative method that allows the simultaneous detection and acquisition of signals from both methods. Heterostructures of Graphene and hexagonal Boron Nitride (G/hBN) are studied with view to many electronic applications due to the possibility of tuning their electronic properties. In this work, we study electronic properties at the edges of single layer G on hBN flakes of various thicknesses prepared on Si and SiO2 substrates. Electronic properties are studied by AFM-in-SEM correlative microscopy that provides simultaneous acquisition of signals from both methods. Images of G/hBN heterostructure flakes obtained in the secondary electron detector show an enhanced signal along the edges that is attributed to localized electrons. We discuss how it corroborates a model that enhanced Raman signal of 2D and Si peaks on the G/hBN edges is electronic (plasmonic) rather than an optical or structural effect.

Keywords: AFM-in-SEM, correlative microscopy, graphene, boron nitride, electronic properties

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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