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  5. Direct Visualization of the Charge Transfer in a Graphene/α-RuCl<sub>3</sub> Heterostructure via Angle-Resolved Photoemission Spectroscopy

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Article
en
2023

Direct Visualization of the Charge Transfer in a Graphene/α-RuCl<sub>3</sub> Heterostructure via Angle-Resolved Photoemission Spectroscopy

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en
2023
Vol 23 (17)
Vol. 23
DOI: 10.1021/acs.nanolett.3c01974

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Kenji Watanabe
Kenji Watanabe

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Antonio Rossi
Cameron Johnson
Jesse Balgley
+13 more

Abstract

We investigate the electronic properties of a graphene and α-ruthenium trichloride (α-RuCl3) heterostructure using a combination of experimental techniques. α-RuCl3 is a Mott insulator and a Kitaev material. Its combination with graphene has gained increasing attention due to its potential applicability in novel optoelectronic devices. By using a combination of spatially resolved photoemission spectroscopy and low-energy electron microscopy, we are able to provide a direct visualization of the massive charge transfer from graphene to α-RuCl3, which can modify the electronic properties of both materials, leading to novel electronic phenomena at their interface. A measurement of the spatially resolved work function allows for a direct estimate of the interface dipole between graphene and α-RuCl3. Their strong coupling could lead to new ways of manipulating electronic properties of a two-dimensional heterojunction. Understanding the electronic properties of this structure is pivotal for designing next generation low-power optoelectronics devices.

How to cite this publication

Antonio Rossi, Cameron Johnson, Jesse Balgley, John C. Thomas, Luca Francaviglia, Riccardo Dettori, Andreas K. Schmid, Kenji Watanabe, Takashi Taniguchi, Matthew Cothrine, David Mandrus, Chris Jozwiak, Aaron Bostwick, Erik Henriksen, Alexander Weber‐Bargioni, Eli Rotenberg (2023). Direct Visualization of the Charge Transfer in a Graphene/α-RuCl<sub>3</sub> Heterostructure via Angle-Resolved Photoemission Spectroscopy. , 23(17), DOI: https://doi.org/10.1021/acs.nanolett.3c01974.

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Publication Details

Type

Article

Year

2023

Authors

16

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acs.nanolett.3c01974

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