IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-59354-3_1.html

Computation of Strain Distributions in Quantum Dot Nanostructures by Means of Atomistic Simulations

In: High Performance Computing in Science and Engineering ’02

Author

Listed:
  • Franz Gähler

    (Universität Stuttgart, Institut für Theoretische und Angewandte Physik)

  • Christopher Kohler

    (Universität Stuttgart, Institut für Theoretische und Angewandte Physik)

  • Johannes Roth

    (Universität Stuttgart, Institut für Theoretische und Angewandte Physik)

  • Hans-Rainer Trebin

    (Universität Stuttgart, Institut für Theoretische und Angewandte Physik)

Abstract

Strain distributions around Ge quantum dots embedded in a Si matrix are computed by means of classical molecular dynamics simulations using the molecular dynamics code IMD. The Tersoff potential is employed in order to model covalent bonds. Two crystal lattice structures are considered, the cubic and hexagonal diamond structure. The distributions of the planar strain are studied for a large number of system sizes and lattice misorientations. In a second part, the scaling of IMD is analyzed for different parallelization schemes and machine architectures.

Suggested Citation

  • Franz Gähler & Christopher Kohler & Johannes Roth & Hans-Rainer Trebin, 2003. "Computation of Strain Distributions in Quantum Dot Nanostructures by Means of Atomistic Simulations," Springer Books, in: Egon Krause & Willi Jäger (ed.), High Performance Computing in Science and Engineering ’02, pages 3-14, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-59354-3_1
    DOI: 10.1007/978-3-642-59354-3_1
    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:978-3-642-59354-3_1. 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.