Specifications

Issue date: January 14, 2013
Publication year: 2012
Pages: 23-27
Language: English
ISSN: 08842914
E-ISSN: 20445326
CODEN: JMREEE
Document type: Journal article (JA)
Publisher: Cambridge University Press, 40 West 20th Street, New York, NY 10011-4211,
United States
Abstract: A technique of controlling growth gas flow rate for adjusting crystal resistivity is
presented in this paper. The experimental results showed that high growth gas flow rate could
affect SiC crystal resistivity remarkably. The SiC crystal resistivity would get higher and higher with
increasing growth gas flow rate. The purifying effect of gas flow rate was contributing to
resistivity increase at a relatively low flow rate range. As for the high gas flow rate, increase of
resistivity might be explained by the well-known site competition effect. Then, one explanation
for reducing nitrogen content in the crystal via increasing gas flow rate was put forward. Namely,
the Si component in the gas species may more easily go through the graphite crucible at the
initial stage to make the growth ambient C-rich when the gas flow rate is 800 sccm or more and
hence suppress nitrogen incorporation into carbon site to increase crystal resistivity. This result is
very helpful to grow high purity high resistivity SiC ingots. © 2012 Materials Research Society.
Number of references: 17
Main heading: Flow rate
Controlled terms: Electric conductivity - Flow of gases - Metal castings -
Nitrogen - Silicon carbide
Uncontrolled terms: Competition effects - Gas species - Graphite crucibles -
Growth ambient - High growth - High purity - High-resistivity SiC - Initial stages -
Nitrogen content - Nitrogen incorporation - Physical vapor transport - Purifying
effect - SiC
Classification code: 534.2 Foundry Practice - 631 Fluid Flow - 631.1.2 Gas Dynamics
- 701.1 Electricity: Basic Concepts and Phenomena - 804 Chemical Products Generally -
804.2 Inorganic Compounds
DOI: 10.1557/jmr.2012.203
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
6.
Accession number: 20130415919816
Title: Blind detection of image splicing based on run length matrix combined properties
Authors: Liu, Han1 ; Yang, Yun1 ; Shang, Minqing1/刘涵;杨云;
Author affiliation:
1 School of Automation and Information Engineering, Xi'An University of Technology, Xi'an,