A Defect-Informed Phase-Field Model for Gate Oxide Breakdown in SiC MOS Structures

Conference Paper (2026)
Author(s)

Jinglin Li (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Aditya Shekhar (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Yaqian Zhang (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Willem D. Van Driel (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Guoqi Zhang (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Electronic Components, Technology and Materials
DOI related publication
https://doi.org/10.1109/EuroSimE69483.2026.11511971 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Electronic Components, Technology and Materials
Publisher
IEEE
ISBN (electronic)
9798331562496
Event
27th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, EuroSimE 2026 (2026-04-19 - 2026-04-22), Warsaw, Poland
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90
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Abstract

Silicon carbide (SiC) MOS structures are promising for high voltage and high temperature power electronics, but gate oxide breakdown remains a major reliability concern because of its stochastic nature and the limited accessibility of the underlying failure pathway. In this work, a defect-informed phase- field framework is developed to investigate oxide breakdown in SiC MOS structures. The model is initialized using a depth- resolved pre-existing defect profile extracted from capacitance and conductance frequency response, thereby linking electrical characterization with physics-based breakdown simulation. The results show that breakdown starts from localized nucleation at defect-rich weak points near the SiO2 /SiC interface, followed by directional growth, interaction, and coalescence of degraded regions into a through-thickness conductive path. Combined analysis of the phase-field variable and electric field distribution shows that local electric field redistribution plays a key role in guiding conductive path propagation and determining the final breakdown trajectory. Post-breakdown focused ion beam scanning electron microscopy (FIB-SEM) reveals a tortuous and spatially confined channel morphology, consistent with the defect-assisted and field-driven breakdown picture predicted by the model. The proposed framework provides a useful tool for analyzing breakdown trajectories and gate oxide reliability in SiC power devices.

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