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Investigating Structural and Surface Modifications in Ion-Implanted 4H-SiC for Enhanced Dopant Distribution Analysis
Taehun Jang1, Mirang Byeon1,2, Minji Kang1
1Busan Center, Korea Basic Science Institute, Busan 46742, Republic of Korea.
Ion-implanted 4H-silicon carbide (4H-SiC) without annealing serves as a reference material. This enables precise control and monitoring of dopant distribution in power semiconductors.
Area of Science:
- Materials Science
- Semiconductor Physics
- Nanotechnology
Background:
- Power semiconductors require precise dopant control for optimal performance.
- Accurate reference materials are crucial for calibrating characterization techniques.
- Existing methods for dopant profiling in semiconductors face challenges in precision and quantification.
Purpose of the Study:
- To develop a novel reference material for managing dopant distribution in power semiconductors.
- To investigate the structural and surface properties of ion-implanted 4H-silicon carbide (4H-SiC) without annealing.
- To establish the suitability of ion-implanted 4H-SiC as a standard for dopant analysis.
Main Methods:
- Utilized X-ray diffraction (XRD) for structural analysis.
- Employed field emission transmission electron microscopy (FE-TEM) for high-resolution imaging.
- Applied atomic force microscopy (AFM) to assess surface morphology.
- Performed time of flight medium energy ion scattering (ToF-MEIS) and secondary ion mass spectrometry (SIMS) for elemental and dopant profiling.
Main Results:
- Characterized the structural and surface properties of aluminum (Al) and phosphorus (P) ion-implanted 4H-SiC.
- Demonstrated that as-implanted 4H-SiC exhibits suitable properties for reference material applications.
- Quantified dopant distribution and confirmed the material's stability without post-annealing.
Conclusions:
- Ion-implanted 4H-SiC without annealing is a viable reference material for power semiconductor applications.
- This material enables precise control of trace elements and quantitative monitoring of dopant distribution.
- The findings facilitate improved accuracy in semiconductor manufacturing and characterization.
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