IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v455y2008i7217d10.1038_nature07437.html
   My bibliography  Save this article

The fourth circuit element

Author

Listed:
  • Neil D. Mathur

    (New Museums Site, Pembroke Street, Cambridge CB2 3QZ, UK. ndm12@cam.ac.uk)

Abstract

Arising from: D. B. Strukov, G. S. Snider, D. R. Stewart & R. S. Williams Nature 453, 80–83 (2008)10.1038/nature06932 In 1971, Chua suggested1 that there should in principle exist a circuit element linking electrical charge, q, and magnetic flux, ϕ. Strukov et al.2 claim recently to have found such a link. However, here I point out that Chua’s suggestion was in fact preceded by experimental evidence3,4,5 for magneto-electric effects whereby magnetic and electrical signals are interconverted. When the stimulus is magnetic and the response is electrical, the linear magneto-electric coupling constant5, α, is typically reported as dP/dH, where P represents the electrical polarization and H represents the applied magnetic field. The coupling constant could equally be presented as dq/dϕ if divided by the permeability of free space.

Suggested Citation

  • Neil D. Mathur, 2008. "The fourth circuit element," Nature, Nature, vol. 455(7217), pages 13-13, October.
    • Handle: RePEc:nat:nature:v:455:y:2008:i:7217:d:10.1038_nature07437
    DOI: 10.1038/nature07437
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature07437
    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/nature07437?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. Zhao, Yong & Ren, Shanshan & Kurths, Jürgen, 2021. "Finite-time and fixed-time synchronization for a class of memristor-based competitive neural networks with different time scales," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
    2. Xu, Ying & Jia, Ya & Ma, Jun & Alsaedi, Ahmed & Ahmad, Bashir, 2017. "Synchronization between neurons coupled by memristor," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 435-442.
    3. Mazin Mohammed Mogadem & Yan Li, 2021. "Memristive Equivalent Circuit Model for Battery," Sustainability, MDPI, vol. 13(20), pages 1-20, October.

    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:455:y:2008:i:7217:d:10.1038_nature07437. 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.