Ab-Initio Calculations of the Vibrational Properties of Nanostructures

Gabriel Bester () and Peng Han ()
Additional contact information
Gabriel Bester: Max-Planck-Institut für Festkörperforschung
Peng Han: Max-Planck-Institut für Festkörperforschung

A chapter in High Performance Computing in Science and Engineering ‘12, 2013, pp 145-156 from Springer

Abstract: Abstract Colloidal semiconductor nanocluster research is a rapidly growing field driven by the attractive idea to tailor material properties by acting on the morphology of the structures. The modification of the optical properties by merely changing the diameter of colloidal quantum dots is one of the figureheads of nanostructure science [1–3]. It is the intense research effort towards the fabrication of nanostructures with favorable properties that has helped to establish most of the knowledge base we rely on today. Till now, the modification of the electronic and optical properties by changing the size of the nanoclusters are well understood theoretically and well controlled experimentally. One open problem of nanostructure science is the effects of temperature on the electronic and optical properties of nanoclusters and hence their vibrational properties.

Keywords: Vibrational Property; Interaction Potential Versus; Frequency Vibrational Mode; Density Functional Perturbation Theory; Lamb Model (search for similar items in EconPapers)
Date: 2013
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:978-3-642-33374-3_13

Ordering information: This item can be ordered from
http://www.springer.com/9783642333743

DOI: 10.1007/978-3-642-33374-3_13

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 ().