Graphene nanoribbon heterojunctions

Jinming Cai, Carlo A. Pignedoli, Leopold Talirz, Pascal Ruffieux, Hajo Söde, Liangbo Liang, Vincent Meunier, Reinhard Berger, Rongjin Li, Xinliang Feng, Klaus Müllen, Roman Fasel

Research output: Contribution to journalArticlepeer-review

581 Scopus citations

Abstract

Despite graphene's remarkable electronic properties, the lack of an electronic bandgap severely limits its potential for applications in digital electronics. In contrast to extended films, narrow strips of graphene (called graphene nanoribbons) are semiconductors through quantum confinement, with a bandgap that can be tuned as a function of the nanoribbon width and edge structure. Atomically precise graphene nanoribbons can be obtained via a bottom-up approach based on the surface-assisted assembly of molecular precursors. Here we report the fabrication of graphene nanoribbon heterojunctions and heterostructures by combining pristine hydrocarbon precursors with their nitrogen-substituted equivalents. Using scanning probe methods, we show that the resulting heterostructures consist of seamlessly assembled segments of pristine (undoped) graphene nanoribbons (p-GNRs) and deterministically nitrogen-doped graphene nanoribbons (N-GNRs), and behave similarly to traditional p-n junctions. With a band shift of 0.5 eV and an electric field of 2×108 V m -1 at the heterojunction, these materials bear a high potential for applications in photovoltaics and electronics.

Original languageEnglish
Pages (from-to)896-900
Number of pages5
JournalNature Nanotechnology
Volume9
Issue number11
DOIs
StatePublished - Nov 13 2014
Externally publishedYes

Funding

This work was supported by the Swiss National Science Foundation, by the State Secretariat for Education, Research and Innovation via the COST Action MP0901 ‘NanoTP’, by the European Science Foundation under the EUROCORES Program EuroGRAPHENE (GOSPEL), ERC NANOGRAPH, EU GENIUS project, Graphene Flagship and by the Office of Naval Research BRC Program. The Swiss Supercomputing Center, CSCS, is acknowledged for computational support (project s507). The authors thank D. Passerone for stimulating discussion. J.C. thanks R. Widmer, J. Liu and C. Sánchez for help with the experiments.

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