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Updated: Sep 23, 2025

Scanning-probe Single-electron Capacitance Spectroscopy
Published on: July 30, 2013
Quantitative electric field mapping in semiconductor heterostructures via tilt-scan averaged DPC STEM
Satoko Toyama1, Takehito Seki2, Yuya Kanitani3
1Institute of Engineering Innovation, School of Engineering, University of Tokyo, 2-11-16, Yayoi, Bunkyo, Tokyo 113-0032, Japan.
This study presents a new method to visualize electric fields in semiconductor devices using scanning transmission electron microscopy. The technique suppresses problematic diffraction contrast, enabling accurate electric field mapping in GaN/AlGaN heterostructures.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Electron Microscopy
Background:
- Differential phase contrast (DPC) in scanning transmission electron microscopy (STEM) visualizes electric fields.
- Diffraction contrast in crystalline specimens complicates electric field mapping.
- Conventional methods fail to reduce diffraction contrast in distorted heterostructures like GaN-based devices.
Purpose of the Study:
- To develop a method for suppressing diffraction contrast in STEM-DPC imaging of crystalline heterostructures.
- To enable quantitative electric field mapping in GaN/AlGaN multi-heterostructures.
Main Methods:
- Averaging multiple DPC signals acquired under various beam-tilt conditions near the zone axis.
- Quantitative estimation of residual diffraction contrast using simulations.
Main Results:
- The developed technique effectively suppresses diffraction contrast in STEM-DPC imaging.
- Quantitative electric field distributions were successfully obtained for GaN/AlGaN multi-heterostructures.
- Residual diffraction contrast was quantitatively estimated and its potential error contribution analyzed.
Conclusions:
- The novel DPC signal averaging method overcomes limitations of conventional techniques for electric field mapping in crystalline materials.
- This approach facilitates accurate, quantitative analysis of electric fields in complex semiconductor devices.
- The findings are crucial for understanding and designing advanced GaN-based electronic devices.
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