IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v433y2005i7021d10.1038_nature03190.html
   My bibliography  Save this article

Quantized conductance atomic switch

Author

Listed:
  • K. Terabe

    (National Institute for Materials Science
    ICORP-SORST/Japan Science and Technology Agency)

  • T. Hasegawa

    (National Institute for Materials Science
    ICORP-SORST/Japan Science and Technology Agency
    RIKEN)

  • T. Nakayama

    (National Institute for Materials Science
    ICORP-SORST/Japan Science and Technology Agency
    RIKEN)

  • M. Aono

    (National Institute for Materials Science
    ICORP-SORST/Japan Science and Technology Agency
    RIKEN)

Abstract

Nanoelectronics switched on A new atomic-scale electromechanical switch has properties that may make it suitable as an element in future nanoelectronic devices. The switch is made by simply crossing a silver sulphide wire and a platinum wire with a 1-nm spacing. When a sufficiently strong voltage pulse is applied, silver atoms from the silver sulphide are electrically introduced into the gap, forming an atomic bridge between the wires; the resulting structure exhibits quantized conduction. The formation process is reversible and the atomic bridge can be annihilated with a second voltage pulse. The ‘crossbar’ structure is convenient for integrating the switch into devices, opening the way for the fabrication of logic circuits using these switches as sole components.

Suggested Citation

  • K. Terabe & T. Hasegawa & T. Nakayama & M. Aono, 2005. "Quantized conductance atomic switch," Nature, Nature, vol. 433(7021), pages 47-50, January.
  • Handle: RePEc:nat:nature:v:433:y:2005:i:7021:d:10.1038_nature03190
    DOI: 10.1038/nature03190
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature03190
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/nature03190?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Ruomin Zhu & Sam Lilak & Alon Loeffler & Joseph Lizier & Adam Stieg & James Gimzewski & Zdenka Kuncic, 2023. "Online dynamical learning and sequence memory with neuromorphic nanowire networks," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

    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:nature:v:433:y:2005:i:7021:d:10.1038_nature03190. 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.