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Related Experiment Video

Updated: May 31, 2026

3D Depth Profile Reconstruction of Segregated Impurities Using Secondary Ion Mass Spectrometry

Published on: April 29, 2020

Nitrogen interstitial defects in GaAs.

K Laaksonen¹, H-P Komsa, T T Rantala

¹Laboratory of Physics, Helsinki University of Technology, PO Box 1100, FI-02015 HUT, Finland.

Journal of Physics. Condensed Matter : an Institute of Physics Journal

|June 23, 2011

Summary

This summary is machine-generated.

We investigated nitrogen interstitial defects in gallium arsenide (GaAs) using first-principles calculations. The most common defects identified were N-N and N-As split interstitials, crucial for understanding GaAs properties.

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Area of Science:

Materials Science
Solid State Physics
Computational Materials Science

Background:

Nitrogen interstitial defects play a critical role in the electronic and optical properties of gallium arsenide (GaAs).
Accurate theoretical modeling is essential for understanding defect behavior in semiconductors.

Purpose of the Study:

To identify the most prevalent nitrogen interstitial defects in GaAs.
To determine the transition levels for various charge states of these defects.
To compare methodologies for calculating defect formation energies.

Main Methods:

First-principles calculations were employed to simulate nitrogen interstitial defects in GaAs.
Formation energies were calculated to rank defect stability.
Two distinct methods for potential correction in calculations were evaluated.

Main Results:

The N-N and N-As split interstitials were identified as the lowest energy defects under most experimental conditions.
Transition levels for different charge states of these defects were determined.
A comparison of potential correction methods was performed.

Conclusions:

Nitrogen-nitrogen and nitrogen-arsenic split interstitials are the dominant nitrogen defects in GaAs.
The calculated transition levels provide insights into the electrical behavior of these defects.
The study validates computational approaches for defect characterization in semiconductors.