Advanced magneto-transport characterization of LPE-grown Hg1-xCdx Te by quantitative mobility spectrum analysis

1996 ◽  
Vol 25 (8) ◽  
pp. 1157-1164 ◽  
Author(s):  
J. R. Meyer ◽  
C. A. Hoffman ◽  
F. J. Bartoli ◽  
J. Antoszewski ◽  
L. Faraone ◽  
...  
Keyword(s):  
Spectrum Analysis ◽  
Mobility Spectrum ◽  
Quantitative Mobility Spectrum Analysis

Quantitative mobility spectrum analysis (QMSA) for hall characterization of electrons and holes in anisotropic bands

1999 ◽  
Vol 28 (5) ◽  
pp. 548-552 ◽  
Author(s):  
I. Vurgaftman ◽  
J. R. Meyer ◽  
C. A. Hoffman ◽  
S. Cho ◽  
J. B. Ketterson ◽  
...  
Keyword(s):  
Spectrum Analysis ◽  
Mobility Spectrum ◽  
Quantitative Mobility Spectrum Analysis

Demonstration of Improved Quantitative Mobility Spectrum Analysis (i-QMSA)

1997 ◽  
Vol 490 ◽  
Author(s):  
I. Vurgaftman ◽  
J. R. Meyer ◽  
C. A. Hoffman ◽  
D. Redfern ◽  
J. Antoszewski ◽  
...  
Keyword(s):  
Spectrum Analysis ◽  
Real Data ◽  
Semiconductor Materials ◽  
Data Sets ◽  
Mobility Spectrum ◽  
Data Set ◽  
Standard Tool ◽  
Field Dependent ◽  
Quantitative Mobility Spectrum Analysis

ABSTRACTWe discuss an improved quantitative mobility spectrum analysis (i-QMSA) of magnetic-field-dependent Hall and resistivity data, which can determine multiple electron and hole densities and mobilities. A fully automated computer implementation of i-QMSA is applied to a variety of synthetic and real data sets. The results show that the new algorithm increases the information available from a given data set and is suitable for use as a standard tool in the characterization of semiconductor materials and devices.

scholarly journals Electronic transport characterization of AlGaN∕GaN heterostructures using quantitative mobility spectrum analysis

2007 ◽  
Vol 91 (10) ◽  
pp. 102113 ◽  
Author(s):  
S. B. Lisesivdin ◽  
A. Yildiz ◽  
S. Acar ◽  
M. Kasap ◽  
S. Ozcelik ◽  
...  
Keyword(s):  
Spectrum Analysis ◽  
Electronic Transport ◽  
Mobility Spectrum ◽  
Quantitative Mobility Spectrum Analysis

Evidence of different conduction channels in bulk ZnO using f-MEMSA Analysis of transport properties

2007 ◽  
Vol 1035 ◽  
Author(s):  
Celine Tavares Chevalier ◽  
J. Rothman ◽  
G. Feuillet
Keyword(s):  
Electrical Properties ◽  
Transport Properties ◽  
Spectrum Analysis ◽  
Bulk Material ◽  
Mobility Spectrum ◽  
Annealing Conditions ◽  
Conductive Channel ◽  
Hall Effect Measurements ◽  
Heteroepitaxial Layers

AbstractThe characterization of transport properties in Zn0 is known to be challenging, particularly due to surface (in the case of bulk) or interface (in the case of heteroepitaxial layers) conduction channels, which puts severe limitations on the interpretation of Hall Effect measurements. In this communication, we report on the study of transport properties of n-type ZnO bulk material using Hall mobility spectrum analysis estimated through the algorithm known as full Maximum Entropy Mobility Spectrum Analysis, f-MEMSA. The electrical properties of bulk Zn0 are measured using a Hall setup for applied magnetic fields µ0H in the range 0T-9T and for temperatures between 50K and 400K. The f-MEMSA analysis highlights the existence of two types of conduction channels in the considered ZnO substrate. We also show that surface conductive channel can be suppressed using appropriate annealing conditions.

scholarly journals Quantitative mobility spectrum analysis of AlGaN∕GaN heterostructures using variable-field hall measurements

2006 ◽  
Vol 88 (14) ◽  
pp. 142106 ◽  
Author(s):  
N. Biyikli ◽  
J. Xie ◽  
Y.-T. Moon ◽  
F. Yun ◽  
C.-G. Stefanita ◽  
...  
Keyword(s):  
Spectrum Analysis ◽  
Mobility Spectrum ◽  
Hall Measurements ◽  
Variable Field ◽  
Quantitative Mobility Spectrum Analysis

Application of quantitative mobility-spectrum analysis to multilayer HgCdTe structures

2004 ◽  
Vol 33 (6) ◽  
pp. 673-683 ◽  
Author(s):  
J. Antoszewski ◽  
L. Faraone ◽  
I. Vurgaftman ◽  
J. R. Meyer ◽  
C. A. Hoffman
Keyword(s):  
Spectrum Analysis ◽  
Mobility Spectrum ◽  
Quantitative Mobility Spectrum Analysis
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