IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v685y2026ics0378437126000178.html

Subdiffusion supports barrier crossing: Mittag-Leffler noise autocorrelation and reactive flux formalism as evidence

Author

Listed:
  • Bakalis, Evangelos
  • Zerbetto, Francesco

Abstract

Rate constants govern the overcoming of potential energy barriers in chemical reactions. In the simplest approach, quasi-equilibrium in the presence of a white noise bath is advocated as the triggering mechanism. Heat baths can be tricky; around the barrier, they can retain memory, which entails non-white noise. The generalised Langevin equation is here used as the underlying model with a noise term whose autocorrelation is described by a Mittag-Leffler function of one, two, or three parameters. In the framework of reactive flux formalism, the rate constant is calculated directly as a function of the barrier height, the friction coefficient, and the parameters of the employed Mittag-Leffler function. In the strong damping limit, because of the generality of the approach, it becomes clear that noises that lead to subdiffusion promote barrier crossing as opposed to those that support superdiffusion.

Suggested Citation

  • Bakalis, Evangelos & Zerbetto, Francesco, 2026. "Subdiffusion supports barrier crossing: Mittag-Leffler noise autocorrelation and reactive flux formalism as evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 685(C).
  • Handle: RePEc:eee:phsmap:v:685:y:2026:i:c:s0378437126000178
    DOI: 10.1016/j.physa.2026.131281
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437126000178
    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.2026.131281?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:685:y:2026:i:c:s0378437126000178. 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.