IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v4y2013i1d10.1038_ncomms3387.html
   My bibliography  Save this article

Electronically stabilized nanowire growth

Author

Listed:
  • Tijs F. Mocking

    (Physics of Interfaces and Nanomaterials, MESA+ Institute for Nanotechnology, University of Twente)

  • Pantelis Bampoulis

    (Physics of Interfaces and Nanomaterials, MESA+ Institute for Nanotechnology, University of Twente)

  • Nuri Oncel

    (University of North Dakota)

  • Bene Poelsema

    (Physics of Interfaces and Nanomaterials, MESA+ Institute for Nanotechnology, University of Twente)

  • Harold J. W. Zandvliet

    (Physics of Interfaces and Nanomaterials, MESA+ Institute for Nanotechnology, University of Twente)

Abstract

Metallic nanowires show unique physical properties owing to their one-dimensional nature. Many of these unique properties are intimately related to electron–electron interactions, which have a much more prominent role in one dimension than in two or three dimensions. Here we report the direct visualization of quantum size effects responsible for preferred lengths of self-assembled metallic iridium nanowires grown on a germanium (001) surface. The nanowire length distribution shows a strong preference for nanowire lengths that are an integer multiple of 4.8 nm. Spatially resolved scanning tunneling spectroscopic measurements reveal the presence of electron standing waves patterns in the nanowires. These standing waves are caused by conduction electrons, that is the electrons near the Fermi level, which are scattered at the ends of the nanowire.

Suggested Citation

  • Tijs F. Mocking & Pantelis Bampoulis & Nuri Oncel & Bene Poelsema & Harold J. W. Zandvliet, 2013. "Electronically stabilized nanowire growth," Nature Communications, Nature, vol. 4(1), pages 1-5, December.
  • Handle: RePEc:nat:natcom:v:4:y:2013:i:1:d:10.1038_ncomms3387
    DOI: 10.1038/ncomms3387
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms3387
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms3387?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hain, Daniel S. & Jurowetzki, Roman & Buchmann, Tobias & Wolf, Patrick, 2022. "A text-embedding-based approach to measuring patent-to-patent technological similarity," Technological Forecasting and Social Change, Elsevier, vol. 177(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:4:y:2013:i:1:d:10.1038_ncomms3387. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.