IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-96-0100-4_21.html
   My bibliography  Save this book chapter

Transport Models in Plasma Media and Numerical Methods

In: Deterministic, Stochastic, and Deep Learning Methods for Computational Electromagnetics

Author

Listed:
  • Wei Cai

    (Southern Methodist University, Department of Mathematics)

Abstract

In this, the final chapter of the book, we study the transport phenomena in plasma due to electrons and ions. These phenomena have wide applications in astrophysics, confined nuclear thermal reactions, and in high-density laser plasma interactions, etc. Plasma, considered as the fourth state of matter in the universe, differs from solids, liquids, and gases, in that there is a much weakened bond strength between its constituent particles. The plasma state of a medium is created via high-temperature external heating, which results in an increase in both the thermal energy and the number of atomic ionizations (i.e., an electron in an outer shell of an atom escapes from its nuclear force confinement once it obtains enough external energy from photon excitation or collision), which produces free-moving electrons and ions. The primary force in a plasma medium is described by the long-range Coulomb forces of electrostatics. The motions of the electrons and the ions can be described by a kinetic theory with special treatment of the collision under the long-range electric potential, which includes the Boltzmann–Fokker–Planck equations or the Balescu–Lenard equations. A macroscopic description of the electron/ion density can also be obtained through the moments of the kinetic equation as the magneto-hydrodynamic (MHD) equations. Three types of numerical methods based on kinetic and hydrodynamic models will be discussed in this chapter. The first type is the Boltzmann–Fokker–Planck solver in phase space, and the second is the particle-in-cell method, which tracks the dynamics of individual particles under the Lorentz force of the electromagnetic fields; the latter is also coupled to the charge distributions of the moving particles. Finally, the third type is a constrained transport method of finite difference type for the MHD equations, which observes the divergence-free constraint on the magnetic field.

Suggested Citation

  • Wei Cai, 2025. "Transport Models in Plasma Media and Numerical Methods," Springer Books, in: Deterministic, Stochastic, and Deep Learning Methods for Computational Electromagnetics, edition 0, chapter 0, pages 595-614, Springer.
  • Handle: RePEc:spr:sprchp:978-981-96-0100-4_21
    DOI: 10.1007/978-981-96-0100-4_21
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    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:spr:sprchp:978-981-96-0100-4_21. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.