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Updated: Jan 10, 2026

Comprehensive Characterization of Extended Defects in Semiconductor Materials by a Scanning Electron Microscope
Published on: May 28, 2016
Multidimensional defect identification of semiconductors in nonequilibrium
Jun Liu1,2, Yang Gao1,2, Xiaolan Yan3
1Key Laboratory of Materials Physics, Institute of Solid State Physics, HFIPS, Chinese Academy of Sciences, Hefei, China.
This study introduces a new modeling framework to identify deep-level defects in irradiated semiconductors. It resolves long-standing mysteries in semiconductor defect physics and enables better control over material properties.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Computational Materials Science
Background:
- Static theory for semiconductor defects is insufficient for nonequilibrium conditions like irradiation.
- Identifying deep-level defects under irradiation presents significant challenges.
Purpose of the Study:
- To develop a robust ab initio-driven multiscale modeling framework for identifying deep-level defects in irradiated semiconductors.
- To overcome challenges in unambiguous nonequilibrium defect identification and accurate deep-level transient spectroscopy (DLTS) simulation.
Main Methods:
- Developed a multiscale modeling framework integrating ab initio calculations.
- Simulated DLTS to identify defect properties.
- Applied the framework to neutron-irradiated silicon (Si) and 4H-silicon carbide (4H-SiC).
Main Results:
- Successfully identified known deep-level defects in neutron-irradiated Si.
- Resolved the atomic origin of controversial deep levels in neutron-irradiated 4H-SiC.
- Discovered that defect origins vary with annealing temperature, challenging static defect theory.
Conclusions:
- The developed framework accurately identifies deep-level defects in irradiated semiconductors under nonequilibrium conditions.
- The findings provide new insights into semiconductor defect physics, particularly the dynamic behavior of defects.
- This work lays the foundation for controlling crucial defects to enhance material properties and device performance.
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