IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v244y2026icp162-180.html

Optimal convergence analysis of arbitrary Lagrangian–Eulerian finite element methods in energy norm for Poisson–Nernst–Planck moving boundary problems

Author

Listed:
  • Lin, Xiaomeng
  • He, Mingyan
  • Sun, Pengtao

Abstract

In this paper, an arbitrary Lagrangian–Eulerian (ALE)-based finite element method (FEM) is developed and analyzed for a class of Poisson–Nernst–Planck (PNP) moving boundary problems, where the optimal convergence rate in energy norm and suboptimal convergence rate in L2 norm are obtained for a fully discrete, linearized, ALE-based finite element scheme. One key analytical technique is the introduction of a novel H1-projection that is associated with a coupling between the electric potential and ionic concentrations over a moving/deforming domain. Numerical experiments are carried out to validate all derived theoretical results. As a starting point, the developed ALE-finite element scheme and its analytical techniques can be extended to moving interface problems of PNP system and more beyond, of PNP–Navier–Stokes coupling system occurring in ion channels and their surrounding cellular environment that will be studied in our future work.

Suggested Citation

  • Lin, Xiaomeng & He, Mingyan & Sun, Pengtao, 2026. "Optimal convergence analysis of arbitrary Lagrangian–Eulerian finite element methods in energy norm for Poisson–Nernst–Planck moving boundary problems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 244(C), pages 162-180.
  • Handle: RePEc:eee:matcom:v:244:y:2026:i:c:p:162-180
    DOI: 10.1016/j.matcom.2025.12.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037847542500552X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2025.12.020?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.

    References listed on IDEAS

    as
    1. Nikhil Bharambe & Zhuowen Li & David Seiferth & Asha Manikkoth Balakrishna & Philip C. Biggin & Sandip Basak, 2024. "Cryo-EM structures of prokaryotic ligand-gated ion channel GLIC provide insights into gating in a lipid environment," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gisela D. Cymes & Claudio Grosman, 2025. "Disentangling the mechanistic role of loop-C capping in Cys-loop receptor activation," Nature Communications, Nature, vol. 16(1), pages 1-11, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    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:matcom:v:244:y:2026:i:c:p:162-180. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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/mathematics-and-computers-in-simulation/ .

    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.