Source abstract
Abstract
Visualization of layered materials with atomic-scale thickness by optical interference with a low-reflection substrate has been widely used to identify exfoliated thin flakes. However, the identification of optically transparent films with an atomic-scale thickness, such as hexagonal boron nitride (hBN), requires a substrate with a reflectance lower than a few percent. Although several types of multilayer antireflection (AR) substrates for identification have been developed, the lack of an established optical design limits the layer structure of AR coatings. In this study, the reflection circle diagram-based design of the AR coatings with a layer of arbitrary materials on top is proposed. The AR substrates with diverse materials on top would visualize the various organic monolayers formed on substrates with chemical bonding. As an experimental demonstration, Si substrates with an optically designed double-layer AR coating of SiN x and SiO 2 were assessed by reflection spectroscopy and employed to visualize an exfoliated monolayer hBN film. As a result, the presence of the monolayer films on Si/SiN x (50 nm)/SiO 2 (25 nm) was directly identified in the image photographed by a commercial camera without an optional optical filter and image processing. Additionally, the use of a narrow band-pass filter enhanced the optical contrast of the monolayer hBN up to 17% at 470 nm and enabled easy determination of the number of layers in few-layer hBN flakes.
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Affiliations
Department of Electrical and Electronic Engineering, Kobe University, 1-1, Rokkodai-cho, Nada, Kobe 657-8501, Japan
International Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Tsukuba 305-0044, Japan
Research Center for Functional Materials, National Institute for Materials Science, 1-1 Namiki, Tsukuba 305-0044, Japan
Funding
Japan Society for the Promotion of Science · Hyogo Science and Technology Association · Iketani Science and Technology Foundation · Chubei Itoh Foundation · Kansai Research Foundation