IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v352y2005i2p436-446.html
   My bibliography  Save this article

Statistical mechanics of self-avoiding tethered membranes in the dense phase using collective coordinates

Author

Listed:
  • Daniels, D.R.

Abstract

We propose a theory for the statistical mechanics of a great many large, self-avoiding tethered membranes in the dense, concentrated, volume-filling and therefore near homogeneous phase. We also give the theoretically expected small-angle scattering spectrum for such a collection of membranes, and furthermore show that self-avoidance becomes effectively screened for tethered membranes in the dense phase. A quantitative discussion of when the theoretical approach outlined in this work remains applicable is also presented, as well as a brief discussion of the likely role of membrane curvature effects. The results obtained in this work are likely to be of relevance for possibly novel dense phases of both physical and biological membranes.

Suggested Citation

  • Daniels, D.R., 2005. "Statistical mechanics of self-avoiding tethered membranes in the dense phase using collective coordinates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 352(2), pages 436-446.
  • Handle: RePEc:eee:phsmap:v:352:y:2005:i:2:p:436-446
    DOI: 10.1016/j.physa.2004.12.063
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437105000488
    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/j.physa.2004.12.063?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.

    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:352:y:2005:i:2:p:436-446. 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.