Electronic decoupling and hole-doping of graphene nanoribbons on metal substrates by chloride intercalation

In this record we provide the data to support our recent finding on the intercalation of gold chloride underneath atomically precise graphene nanoribbons (GNRs). GNRs have a wide range of electronic properties that depend sensitively on their chemical structure. Several types of GNRs have been synthesized on metal surfaces through selective surface-catalyzed reactions. The resulting GNRs are adsorbed on the metal surface, which may lead to hybridization between the GNR orbitals and those of the substrate. This makes investigation of the intrinsic electronic properties of GNRs more difficult, and also rules out capacitive gating. In the manuscript where the data presented here is discussed, we demonstrate the formation of a dielectric gold chloride adlayer that can intercalate underneath GNRs on the Au(111) surface. The intercalated gold chloride adlayer electronically decouples the GNRs from the metal and leads to a substantial hole doping of the GNRs. Our results introduce an easily accessible tool in the in situ characterization of GNRs grown on Au(111) that allows for exploration of their electronic properties in a heavily hole-doped regime.

Identifier
Source https://archive.materialscloud.org/record/2024.74
Metadata Access https://archive.materialscloud.org/xml?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:materialscloud.org:2185
Provenance
Creator Kinikar, Amogh; G. Englmann, Thorsten; Di Giovannantonio, Marco; Bassi, Nicolò; Xiang, Feifei; Stolz, Samuel; Widmer, Roland; Borin Barin, Gabriela; Turco, Elia; Merino Díez, Néstor; Eimre, Kristjan; Ortega-Guerrero, Andres; Feng, Xinliang; Gröning, Oliver; Pignedoli, Carlo Antonio; Fasel, Roman; Ruffieux, Pascal
Publisher Materials Cloud
Publication Year 2024
Rights info:eu-repo/semantics/openAccess; Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Contact archive(at)materialscloud.org
Representation
Language English
Resource Type Dataset
Discipline Materials Science and Engineering