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Dopant activation process in Mg-implanted GaN studied by monoenergetic positron beam
Akira Uedono1, Ryo Tanaka2, Shinya Takashima2
1Division of Applied Physics, Faculty of Pure and Applied Science, University of Tsukuba, Tsukuba, Ibaraki, 305-8573, Japan. uedono.akira.gb@u.tsukuba.ac.jp.
Sequential nitrogen implantation enhances magnesium activation in gallium nitride (GaN) by suppressing vacancy clustering. This process is crucial for improving defect control in GaN materials.
Area of Science:
- Materials Science
- Semiconductor Physics
- Defect Engineering
Background:
- Magnesium (Mg)-implanted Gallium Nitride (GaN) is a key material for optoelectronic devices.
- Understanding Mg activation and its relationship with defects is critical for device performance.
- Positron annihilation spectroscopy (PAS) is a sensitive technique for studying vacancy-type defects.
Purpose of the Study:
- To investigate the process of Mg activation in GaN.
- To elucidate the relationship between Mg activation and vacancy-type defects.
- To determine the role of sequential nitrogen (N) implantation in enhancing Mg activation.
Main Methods:
- Mg+ and N+ ions were implanted into GaN at specific energies and concentrations.
- Capacitance-voltage (C-V) measurements were used to assess Mg activation.
- Positron annihilation spectroscopy (PAS) was employed to identify and quantify vacancy-type defects.
- Annealing studies were performed at various temperatures (below 1000 °C and above 1200 °C).
Main Results:
- Sequential N implantation significantly enhanced Mg activation in GaN.
- Before annealing, Ga-vacancy related defects, such as divacancies, were the primary defect species.
- Annealing below 1000 °C led to vacancy clustering.
- Annealing above 1200 °C resulted in a decrease in vacancy size due to recombination with excess N atoms.
- N implantation suppressed vacancy clustering.
Conclusions:
- The suppression of vacancy clustering by sequential N implantation is the primary reason for the enhanced Mg activation in Mg-implanted GaN.
- This finding provides a pathway for optimizing the electrical properties of Mg-doped GaN through defect engineering.
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