Detecting the spin-polarization of edge states in graphene nanoribbons.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
21 Oct 2023
21 Oct 2023
Historique:
received:
16
11
2022
accepted:
11
10
2023
medline:
22
10
2023
pubmed:
22
10
2023
entrez:
21
10
2023
Statut:
epublish
Résumé
Low dimensional carbon-based materials can show intrinsic magnetism associated to p-electrons in open-shell π-conjugated systems. Chemical design provides atomically precise control of the π-electron cloud, which makes them promising for nanoscale magnetic devices. However, direct verification of their spatially resolved spin-moment remains elusive. Here, we report the spin-polarization of chiral graphene nanoribbons (one-dimensional strips of graphene with alternating zig-zag and arm-chair boundaries), obtained by means of spin-polarized scanning tunnelling microscopy. We extract the energy-dependent spin-moment distribution of spatially extended edge states with π-orbital character, thus beyond localized magnetic moments at radical or defective carbon sites. Guided by mean-field Hubbard calculations, we demonstrate that electron correlations are responsible for the spin-splitting of the electronic structure. Our versatile platform utilizes a ferromagnetic substrate that stabilizes the organic magnetic moments against thermal and quantum fluctuations, while being fully compatible with on-surface synthesis of the rapidly growing class of nanographenes.
Identifiants
pubmed: 37865684
doi: 10.1038/s41467-023-42436-7
pii: 10.1038/s41467-023-42436-7
pmc: PMC10590394
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
6677Subventions
Organisme : Gobierno de Aragón
ID : E13-20R
Organisme : Gobierno de Aragón
ID : E12-20R
Organisme : Xunta de Galicia
ID : ED431G2019/03
Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Future and Emerging Technologies (H2020 Excellent Science - Future and Emerging Technologies)
ID : 863098
Organisme : Eusko Jaurlaritza (Basque Government)
ID : PRE-2021-2-0190
Organisme : Eusko Jaurlaritza (Basque Government)
ID : PIBA-2020-1-0014
Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Future and Emerging Technologies (H2020 Excellent Science - Future and Emerging Technologies)
ID : 863098
Informations de copyright
© 2023. Springer Nature Limited.
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