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Updated: Dec 12, 2025

Comprehensive Characterization of Extended Defects in Semiconductor Materials by a Scanning Electron Microscope

Comprehensive Characterization of Extended Defects in Semiconductor Materials by a Scanning Electron Microscope

Published on: May 28, 2016

EBSD pattern simulations for an interaction volume containing lattice defects.

Chaoyi Zhu¹, Marc De Graef¹

¹Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.

Ultramicroscopy

|August 14, 2020

Summary

This summary is machine-generated.

Lattice defects significantly impact electron backscatter diffraction (EBSD) patterns. This study couples electron scattering simulations with deformation models to quantify defect effects on EBSD, aiding materials analysis.

Keywords:

EBSD pattern simulation HR-EBSD Interaction volume Threading dislocation

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Last Updated: Dec 12, 2025

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Electron Channeling Contrast Imaging for Rapid III-V Heteroepitaxial Characterization

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Published on: July 17, 2015

Area of Science:

Materials Science
Crystallography
Computational Physics

Background:

Electron Backscatter Diffraction (EBSD) is sensitive to crystal lattice defects.
Understanding defect-induced EBSD pattern changes is crucial for materials characterization.
Near-surface defects require specific modeling of electron-matter interactions and deformation fields.

Purpose of the Study:

To quantitatively link lattice defect characteristics to EBSD pattern variations.
To develop a computational framework for simulating EBSD patterns from defect-containing materials.
To investigate the influence of dislocation density and type on diffraction pattern diffuseness.

Main Methods:

Coupling a depth-specific dynamical electron scattering simulation with a crystal deformation model.
Utilizing the Yoffe-Shaibani-Hazzeldine dislocation field model for displacement fields.
Cross-validation of simulated patterns with High-Resolution EBSD (HR-EBSD) experiments.
Employing the virtual beam technique to analyze diffraction contrast.

Main Results:

Generated EBSD patterns from simulated defect volumes (edge dislocation, low-angle grain boundary).
Quantified pattern diffuseness in the frequency domain as a function of dislocation density.
Demonstrated the capability to predict EBSD pattern alterations due to specific lattice defects.

Conclusions:

The coupled simulation approach accurately predicts EBSD pattern changes caused by lattice defects.
Spatial distribution and density of defects can be quantitatively inferred from EBSD pattern analysis.
This method enhances the understanding of electron-matter interactions in the presence of crystal imperfections.