IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v203y1994i3p627-639.html
   My bibliography  Save this article

Stochastic model of phason disorder in quasicrystals

Author

Listed:
  • Ishii, Y.

Abstract

The phason disorder observed in a large class of quasicrystals is discussed within a stochastic model. Basic assumption is that the growth front of a sample moves in one direction and that the phason fields accumulate linearly with the size of the domain. Treating the domain size and the linear phason strain as random variables, we show that the phason fluctuation behaves very differently depending on the probability distribution of the domain size. To yield the experimentally observed diffraction peak broadening, the uniform phason strain is not sufficient but the distribution of the domain size of strained quasicrystals has to be such a singular one that an arbitrarily large domain can be found in samples. A physical mechanism realizing the singular probability distribution is discussed.

Suggested Citation

  • Ishii, Y., 1994. "Stochastic model of phason disorder in quasicrystals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 203(3), pages 627-639.
  • Handle: RePEc:eee:phsmap:v:203:y:1994:i:3:p:627-639
    DOI: 10.1016/0378-4371(94)90018-3
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0378437194900183
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/0378-4371(94)90018-3?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.

    References listed on IDEAS

    as
    1. Bendler, John T. & Shlesinger, Michael F., 1991. "Fractal clusters in the learning curve," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 177(1), pages 585-588.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Clas‐Otto Wene, 2016. "Future energy system development depends on past learning opportunities," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(1), pages 16-32, January.

    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:eee:phsmap:v:203:y:1994:i:3:p:627-639. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.