Solid State Physics

Werner Hanke
Additional contact information
Werner Hanke: Universität Würzburg, Institut für Theoretische Physik und Astrophysik

A chapter in High Performance Computing in Science and Engineering’ 04, 2005, pp 79-81 from Springer

Abstract: Abstract In the following we give a summary of the computational physics articles presented in the frame of solid-state physics. In the project of Prof. P. Nielaba from the physics department in Konstanz new insights into the electronic transport in nano-wires, elastic constants of model colloids, pore condensates and phase transitions in nano-systems in ex-ternal potentials and reduced geometry have been obtained. Despite the fact that many new experimental techniques have studied these properties in sys-tems of the size of the a few nanometers, the theoretical investigations are still in an initial stage. In this field computer simulations have become more and more important since the nano-systems in reduced geometry contain typically between 10 and 10.000 particles. This size is nearly ideal for the application of computer simulation methods. The summary given by P. Nielaba then de-scribes in detail the computational efficiency implemented at the HLRS in Stuttgart and the results obtained in the projects in 2003.

Keywords: Cluster Concern; Hubbard Model; Insulator Transition; Bosonic Atom; Model Colloid (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-26589-4_9

Ordering information: This item can be ordered from
http://www.springer.com/9783540265894

DOI: 10.1007/3-540-26589-9_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().