IDEAS home Printed from https://ideas.repec.org/a/spr/eurphb/v92y2019i3d10.1140_epjb_e2019-90656-2.html
   My bibliography  Save this article

Electrostatic chameleons: theory of intelligent metashells with adaptive response to inside objects

Author

Listed:
  • Liujun Xu

    (State Key Laboratory of Surface Physics, and Key Laboratory of Micro and Nano Photonic Structures (MOE), Fudan University)

  • Jiping Huang

    (State Key Laboratory of Surface Physics, and Key Laboratory of Micro and Nano Photonic Structures (MOE), Fudan University)

Abstract

The remarkable capability to tailor material property has largely expanded the permittivity range, even with negative value. However, permittivity, as an inherent property, may lack adaptive response to nearby objects. To solve this problem, here we introduce the chameleon behavior from biology to electrostatics. The essence of electrostatic chameleons can be concluded as intelligent metashells with adaptive response to inside objects. The requirement of electrostatic chameleons is deduced by making the effective permittivities of metashells only dependent on the permittivities of inside objects. By delicately designing the anisotropic permittivities of metashells, we summarize two types of electrostatic chameleons with distinct mechanisms. The theoretical analyses are validated by numerical simulations, which indicate that the proposed metashells do work as expected. Such schemes have potential applications in camouflage, self-adaption, etc. This work not only lays the theoretical foundation for electrostatic chameleons, but also provides guidance for exploring other intelligent materials beyond chameleon. Graphical abstract

Suggested Citation

  • Liujun Xu & Jiping Huang, 2019. "Electrostatic chameleons: theory of intelligent metashells with adaptive response to inside objects," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 92(3), pages 1-9, March.
  • Handle: RePEc:spr:eurphb:v:92:y:2019:i:3:d:10.1140_epjb_e2019-90656-2
    DOI: 10.1140/epjb/e2019-90656-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1140/epjb/e2019-90656-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1140/epjb/e2019-90656-2?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.

    More about this item

    Keywords

    Statistical and Nonlinear Physics;

    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:spr:eurphb:v:92:y:2019:i:3:d:10.1140_epjb_e2019-90656-2. 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.springer.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.