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Título

RAW DATA for Detecting the spin-polarization of edge states in graphene nanoribbons

AutorBrede, Jens CSIC ORCID; Merino-Díez, Nestor CSIC ORCID; Berdonces-Layunta, Alejandro CSIC; Sanz, Sofía; Domínguez-Celorrio, Amelia CSIC ORCID; Lobo-Checa, Jorge CSIC ORCID ; Vilas-Varela, Manuel; Peña, Diego; Frederiksen, Thomas; Pascual, José I.; García de Oteyza, Dimas; Serrate, David CSIC ORCID
Palabras claveGraphene
Nanoribbons
STM
On-surface synthesis
Magnetism
Spin polarized STM
Fecha de publicaciónoct-2023
ResumenLow dimensional carbon-based materials can show intrinsic magnetism associated to p-electrons in open-shell $\pi$-conjugated systems. Chemical design provides atomically precise control of the $\pi$-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 $\pi$-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.
DescripciónColección de datos originales necesarios para la elaboración del artículo al que hace referencia el título. Incluye imágenes en formato binario *.sxm, datos ascii enformato *.txt o *.dat, archivos de origin *.opj, e imágenes *.bmp
URIhttp://hdl.handle.net/10261/336588
DOIhttps://doi.org/10.20350/digitalCSIC/15625
Aparece en las colecciones: (ICMA) Informes y documentos de trabajo
(CFM) Informes y documentos de trabajo
(CINN) Informes y documentos de trabajo

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RAW.DATA digitalCSIC.zipCompressed file with raw data utlized to compose the main figures and Supplementary Figures288,4 MBZIPVisualizar/Abrir
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