IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v155y1989i1p37-51.html
   My bibliography  Save this article

Deterministic screened growth models

Author

Listed:
  • Meakin, Paul

Abstract

Two deterministic modifications of the two dimensional screened growth models have been investigated. In one of these models (the threshold growth probability model) all of those sites with growth probabilities greater than ƒPmax are filled at each stage in the growth process. Here Pmax is the maximum growth probability for any of the unoccupied perimeter sites. This model leads to clusters with a power law relationship between the radius of gyration (Rg) and the cluster size M (Rg ≈ Mβ). For this model the effective fractal are changed dimensionally Dβ = 1/β varies continously as the parameters in the screening function are changed. In the second model (the continuous growth model) growth is assumed to occur in each of the unoccupied surface sites at a rate proportional to their growth probabilities. These sites become occupied when the growth in them reaches a fixed value of 1. This model leads to clusters with four dense symmetric arms. In this model the effective dimensionality Dβ crosses over from a value of 2.0 for small clusters or small length scales to a smaller value (probably 1.0) on longer length scales. Similar results were obtained from three dimensional models.

Suggested Citation

  • Meakin, Paul, 1989. "Deterministic screened growth models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 155(1), pages 37-51.
  • Handle: RePEc:eee:phsmap:v:155:y:1989:i:1:p:37-51
    DOI: 10.1016/0378-4371(89)90050-2
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0378437189900502
    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(89)90050-2?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

    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:155:y:1989:i:1:p:37-51. 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: 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.