Maximum entropy mobility spectrum analysis for magnetotransport characterization of semiconductor multilayer structures

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.

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

Journal of Electronic Materials ◽

10.1007/s11664-999-0110-2 ◽

1999 ◽

Vol 28 (5) ◽

pp. 548-552 ◽

Cited By ~ 13

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

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

Journal of Electronic Materials ◽

10.1007/bf02655002 ◽

1996 ◽

Vol 25 (8) ◽

pp. 1157-1164 ◽

Cited By ~ 11

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

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Maximum entropy mobility spectrum analysis of LPE-grown and anodic oxidated Hg1-xCdxTe(x=0.237)

Journal of Physics Conference Series ◽

10.1088/1742-6596/864/1/012026 ◽

2017 ◽

Vol 864 ◽

pp. 012026

Author(s):

Z Y Song ◽

L Y Shang ◽

T Lin ◽

Y F Wei ◽

J H Chu

Keyword(s):

Maximum Entropy ◽

Spectrum Analysis ◽

Mobility Spectrum

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Maximum entropy mobility spectrum analysis of HgCdTe heterostructures

Journal of Electronic Materials ◽

10.1007/s11664-006-0238-2 ◽

2006 ◽

Vol 35 (6) ◽

pp. 1174-1184 ◽

Cited By ~ 35

Author(s):

Johan Rothman ◽

Jerome Meilhan ◽

Gwladys Perrais ◽

Jean-Pierre Belle ◽

Olivier Gravrand

Keyword(s):

Maximum Entropy ◽

Spectrum Analysis ◽

Mobility Spectrum

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

MRS Proceedings ◽

10.1557/proc-490-245 ◽

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.

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Transport property of multi-band topological material PtBi$$_2$$ studied by maximum entropy mobility spectrum analysis (MEMSA)

Scientific Reports ◽

10.1038/s41598-021-85364-6 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Haijun Zhao ◽

Wenchong Li ◽

Yue Chen ◽

Chunqiang Xu ◽

Bin Li ◽

...

Keyword(s):

Maximum Entropy ◽

Spectrum Analysis ◽

Electrical Transport ◽

Maximum Entropy Principle ◽

High Mobility ◽

Dirac Fermions ◽

Mobility Spectrum ◽

First Principle Calculation ◽

Entropy Principle ◽

Rich Information

AbstractElectrical transport of both longitudinal and transverse directions carries rich information. Mobility spectrum analysis (MSA) is capable of extracting charge information from conductivity tensor, including charge types, concentration and mobilities. Using a numerical method based on maximum entropy principle, i.e., maximum entropy mobility spectrum analysis (MEMSA), mobility spectrum for $$\beta $$ β -type PtBi$$_2$$ 2 is studied. Three hole-pockets and two electron-pockets were found, including a small hole pocket with very high mobility, which is very likely corresponding to Dirac Fermions. Benefiting from our high resolution result, we studied temperature dependence of carrier properties and explained the sign change phenomenon of Hall conductivity. We further compared the results with band structure obtained by our first principle calculation. The present results prove MEMSA is a useful tool of extracting carries’ information in recently discovered Iron-based superconductors, and topological materials.

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