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Bandgap mapping for III-V quantum well by electron spectroscopy imaging
Jin-Sheng Tsai1, Ji-Jung Kai, Li Chang
1Department of Engineering and System Science, National Tsing Hua University, Taiwan, Republic of China.
Journal of Electron Microscopy
|December 8, 2004
Summary
Bandgap mapping visualizes energy variations in semiconductors using electron spectroscopy imaging (ESI). This study refines ESI techniques for precise bandgap energy measurement in GaN/AlN quantum wells.
Area of Science:
- Materials Science
- Solid State Physics
- Nanotechnology
Background:
- Bandgap mapping is crucial for understanding semiconductor inhomogeneity.
- Previous methods lacked sufficient spatial resolution for nanoscale analysis.
- III-V semiconductors and quantum well structures present unique characterization challenges.
Purpose of the Study:
- To develop and demonstrate advanced electron spectroscopy imaging (ESI) techniques for bandgap mapping.
- To accurately determine the bandgap energy distribution in GaN/AlN quantum-well structures.
- To improve the spatial resolution and accuracy of bandgap energy measurements.
Main Methods:
- Utilized phase correlation for precise image registration in ESI series.
- Employed fast Fourier transform interpolation to enhance energy dispersion.
- Developed an iterative multivariable least square algorithm for fitting density of states.
- Applied threshold filtering to quantify bandgap energies in specific regions.
Main Results:
- Successfully mapped the bandgap energy distribution in GaN/AlN quantum wells.
- Achieved high spatial resolution for nanoscale inhomogeneity analysis.
- Determined average bandgap energies: AlN (5.62 ± 0.35 eV) and GaN (3.87 ± 0.36 eV).
- Demonstrated analysis accuracy comparable to half the ESI energy resolution.
Conclusions:
- The refined ESI techniques enable detailed bandgap mapping of quantum well structures.
- The developed methods provide accurate quantitative analysis of bandgap energy variations.
- This approach offers significant advancements in semiconductor characterization at the nanoscale.