IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-60550-5_24.html
   My bibliography  Save this book chapter

Modellierung und Simulation von Quantum—Well—Halbleiterlasern

In: Mathematik Schlüsseltechnologie für die Zukunft

Author

Listed:
  • H. Gajewski

    (Weierstraß Institut für Angewandte Analysis und Stochastik (WIAS))

  • H.-Chr. Kaiser

    (Weierstraß Institut für Angewandte Analysis und Stochastik (WIAS))

  • J. Rehberg

    (Weierstraß Institut für Angewandte Analysis und Stochastik (WIAS))

  • H. Stephan

    (Weierstraß Institut für Angewandte Analysis und Stochastik (WIAS))

  • H. Wenzel

    (Ferdinand-Braun-Institut für Höchstfrequenztechnik (FBH))

Abstract

The development of modern quantum-well semiconductor lasers requires effective numerical tools for their simulation. In cooperation of physicists from the FBH and mathematicians from the WIAS design and optimization of high-power semiconductor lasers could be achieved using the WIAS based semiconductor device simulator ToSCA. The main theoretical problem is the connection and interaction of microscopic (Schroedinger’s equation) and macroscopic (drift—diffusion equations) models in the same domain. Modelling, analysis, numerics and simulation of quantum-well semiconductor lasers are shown. As examples, ToSCA-simulations of aluminum-free RISAS and ARROW type lasers operating at 800 nm and 940 nm, respectively, are presented.

Suggested Citation

  • H. Gajewski & H.-Chr. Kaiser & J. Rehberg & H. Stephan & H. Wenzel, 1997. "Modellierung und Simulation von Quantum—Well—Halbleiterlasern," Springer Books, in: Karl-Heinz Hoffmann & Willi Jäger & Thomas Lohmann & Hermann Schunck (ed.), Mathematik Schlüsseltechnologie für die Zukunft, pages 281-291, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-60550-5_24
    DOI: 10.1007/978-3-642-60550-5_24
    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:978-3-642-60550-5_24. 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.