IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-55526-8_18.html

Metal-Insulator Transitions and Realistic Modelling of Correlated Electron Systems

In: High Performance Computing in Science and Engineering, Munich 2002

Author

Listed:
  • Georg Keller

    (University of Augsburg, Center for Electronic Correlations and Magnetism, Theoretical Physics III Institute for Physics)

  • Dieter Vollhardt

    (University of Augsburg, Center for Electronic Correlations and Magnetism, Theoretical Physics III Institute for Physics)

  • Karsten Held

    (University of Augsburg, Center for Electronic Correlations and Magnetism, Theoretical Physics III Institute for Physics
    Princeton University Princeton, Physics Department)

  • Volker Eyert

    (University of Augsburg, Center for Electronic Correlations and Magnetism, Theoretical Physics III Institute for Physics)

  • Vladimir I. Anisimov

    (Institute of Metal Physics Ekaterinburg)

Abstract

The calculation of physical properties of electronic systems by controlled approximations is one of the most important challenges of modern theoretical solid state physics. In particular, the physics of transition metal oxides — a singularly important group of materials both from the point of view of fundamental research and technological applications — may only be understood by explicit consideration of the strong effective interaction between the conduction electrons in these systems. The investigation of electronic many-particle systems is made especially complicated by quantum statistics, and by the fact that the phenomena of interest (e.g., metal insulator transitions and fer-romagnetism) usually require the application of non-perturbative theoretical techniques.

Suggested Citation

  • Georg Keller & Dieter Vollhardt & Karsten Held & Volker Eyert & Vladimir I. Anisimov, 2003. "Metal-Insulator Transitions and Realistic Modelling of Correlated Electron Systems," Springer Books, in: Siegfried Wagner & Arndt Bode & Werner Hanke & Franz Durst (ed.), High Performance Computing in Science and Engineering, Munich 2002, pages 217-226, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-55526-8_18
    DOI: 10.1007/978-3-642-55526-8_18
    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

    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:spr:sprchp:978-3-642-55526-8_18. 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.