IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v391y2012i12p3446-3459.html
   My bibliography  Save this article

Minimalist landscape model of glass relaxation

Author

Listed:
  • Mauro, John C.
  • Smedskjaer, Morten M.

Abstract

The relaxation behavior of glass is of great scientific and technological importance. However, prediction of glass relaxation behavior using direct first principles techniques is currently infeasible for realistic laboratory time scales. The enthalpy landscape approach has proven to be successful in overcoming this time scale constraint and providing insights into the fundamental physics governing glass transition and relaxation behavior. However, it is still too computationally intensive to calculate representative enthalpy landscapes for multicomponent glasses of industrial interest. It is thus interesting to consider a simplified enthalpy landscape that captures the essential features of glass relaxation and can be solved analytically. Here, we present the analytical solution for such a “minimalist landscape” model that is complicated enough to capture both primary (α) and secondary (β) relaxation processes, yet simple enough to offer a closed-form solution. Using this minimalist landscape, we perform model calculations to illustrate the relative impact of activation barriers and entropy on glass relaxation behavior. The results of our model show that α and β relaxation processes are largely decoupled, in agreement with recently published experimental results.

Suggested Citation

  • Mauro, John C. & Smedskjaer, Morten M., 2012. "Minimalist landscape model of glass relaxation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(12), pages 3446-3459.
  • Handle: RePEc:eee:phsmap:v:391:y:2012:i:12:p:3446-3459
    DOI: 10.1016/j.physa.2012.01.047
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843711200091X
    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.2012.01.047?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. Mauro, John C. & Mauro, Yihong Z., 2018. "On the Prony series representation of stretched exponential relaxation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 75-87.

    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:391:y:2012:i:12:p:3446-3459. 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.