ParChem: Efficient Numerical Methods for Chemical Problems related to MOVPE

E. Mesic, M. Mukinovic, L. Kadinski and G. Brenner ()
Additional contact information
E. Mesic: University of Erlangen-Nürnberg, Institute of Fluid Mechanics
M. Mukinovic: TU-Clausthal, Institute of Applied Mechanics
L. Kadinski: University of Erlangen-Nürnberg, Institute of Fluid Mechanics
G. Brenner: University of Erlangen-Nürnberg, Institute of Fluid Mechanics

A chapter in High Performance Computing in Science and Engineering, Garching 2004, 2005, pp 51-62 from Springer

Abstract: Abstract The prediction of MOVPE processes requires the modeling of numerous coupled transport phenomena for momentum, mass and heat including temperature dependent physical properties and chemical reactions. In the present paper, the numerical simulation is used as a tool to identify and distinguish systematically the chemical parameters in the AlGaN growth process in order to obtain a reliable and efficient prediction of the process.

Keywords: Growth Rate; Computational Mathematic; Transport Phenomenon; Computational Intelligence; Chemical Parameter (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:978-3-540-28555-7_5

Ordering information: This item can be ordered from
http://www.springer.com/9783540285557

DOI: 10.1007/3-540-28555-5_5

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 ().