Dislocation Strain Mapping in SiC Power Semiconductors: A Correlative ECCI, HR-EBSD, and Modeling Approach
| Focus: | Talents |
|---|---|
| Type of funding: | Individual funding programmes |
| Programme: | CZS Research Boost |
| Funded institution: |
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Prof. Dr. Thomas Friedrich conducts research at the Ernst Abbe University of Applied Sciences in Jena on strain fields at crystal defects in silicon carbide (SiC). Using correlative microscopy techniques and atomistic simulations, he investigates how these defects can be precisely characterized. The goal is to establish a quantitative reference database for elastic strain fields, which will serve as the basis for the non-destructive analysis of SiC semiconductors.
Goals
As part of the DISMAP project, Prof. Friedrich is working on the systematic mapping of elastic strain fields in 4H-SiC power semiconductors. The goal is to achieve a non-destructive and quantitative characterization of the strain fields of individual defects - including basal plane dislocations, screw dislocations, step dislocations, and stacking faults - in SiC wafers, which has not been possible until now. Silicon carbide is a key material for the next generation of power semiconductors in electric vehicles, photovoltaic systems, and industrial inverters. The electrical properties and long-term reliability of these devices are largely determined by crystalline defects.
To this end, the project utilizes correlative scanning electron microscopy: Electron Channeling Contrast Imaging is used to image relevant defect types, which are then identified through systematic contrast analysis. In addition, high-resolution electron backscatter diffraction is used to measure and reconstruct elastic strain tensors with a sensitivity of approximately 10⁻⁴. The strain fields are interpreted at the atomic level and integrated into a theoretical framework to establish a consistent reference database. This database serves as the foundation for strain-sensitive metrology methods and offers significant potential for transfer to industrial applications.
Involved persons:
Detailed information:
| Focus: | Talents |
|---|---|
| Programme: | CZS Research Boost |
| Type of funding: | Individual funding programmes |
| Target group: | Professors |
|---|---|
| Funding budget: | 200.000 € |
| Additional overhead: | 40.000 € |
| Period of time: | January 2027 - December 2028 |