IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v545y2020ics037843711932103x.html
   My bibliography  Save this article

Tagged particle correlations in a dense fluid: Role of microscopic dynamics

Author

Listed:
  • Bidhoodi, Neeta
  • Das, Shankar P.

Abstract

We study the self diffusion process in a dense fluid in two cases for which the individual fluid particles follow respectively deterministic Newtonian dynamics (ND) and stochastic Brownian dynamics (BD). The role of correlated motion of fluid particles on the single particle diffusion is taken in to account here using mode coupling models. We demonstrate the subtle difference present in the corresponding mode coupling corrections to diffusion constants for fluids with BD and ND by carefully analysing the equations of fluctuating nonlinear hydrodynamics (FNH) in the respective cases. Finally, we use recently developed model for dynamics of binary mixtures to model a BD fluid in terms of a ND mixture whose species have a very large mass ratio. Here the high inertia larger particles are identified as Brownian and a mechanical interpretation of the noise in a Brownian fluid is made in terms of the smaller particles randomly colliding with them.

Suggested Citation

  • Bidhoodi, Neeta & Das, Shankar P., 2020. "Tagged particle correlations in a dense fluid: Role of microscopic dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    • Handle: RePEc:eee:phsmap:v:545:y:2020:i:c:s037843711932103x
    DOI: 10.1016/j.physa.2019.123777
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843711932103X
    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.2019.123777?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:545:y:2020:i:c:s037843711932103x. 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.