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1.
Materials (Basel) ; 17(8)2024 Apr 20.
Artículo en Inglés | MEDLINE | ID: mdl-38673265

RESUMEN

This paper presents a reliability study of a conventional 650 V SiC planar MOSFET subjected to pulsed HTRB (High-Temperature Reverse Bias) stress and negative HTGB (High-Temperature Gate Bias) stress defined by a TCAD static simulation showing the electric field distribution across the SiC/SiO2 interface. The instability of several electrical parameters was monitored and their drift analyses were investigated. Moreover, the shift of the onset of the Fowler-Nordheim gate injection current under stress conditions provided a reliable method to quantify the trapped charge inside the gate oxide bulk, and it allowed us to determine the real stress conditions. Moreover, it has been demonstrated from the cross-correlation, the TCAD simulation, and the experimental ΔVth and ΔVFN variation that HTGB stress is more severe compared to HTRB. In fact, HTGB showed a 15% variation in both ΔVth and ΔVFN, while HTRB showed only a 4% variation in both ΔVth and ΔVFN. The physical explanation was attributed to the accelerated degradation of the gate insulator in proximity to the source region under HTGB configuration.

2.
Micromachines (Basel) ; 15(7)2024 Jun 30.
Artículo en Inglés | MEDLINE | ID: mdl-39064382

RESUMEN

This paper investigates the threshold voltage shift (ΔVTH) induced by positive bias temperature instability (PBTI) in silicon carbide (SiC) power MOSFETs. By analyzing ΔVTH under various gate stress voltages (VGstress) at 150 °C, distinct mechanisms are revealed: (i) trapping in the interface and/or border pre-existing defects and (ii) the creation of oxide defects and/or trapping in spatially deeper oxide states with an activation energy of ~80 meV. Notably, the adoption of different characterization methods highlights the distinct roles of these mechanisms. Moreover, the study demonstrates consistent behavior in permanent ΔVTH degradation across VGstress levels using a power law model. Overall, these findings deepen the understanding of PBTI in SiC MOSFETs, providing insights for reliability optimization.

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