← 返回

SiO2/Al2O3栅介质SiC沟槽MOSFET中载流子各向异性输运研究

Anisotropic Carrier Transport in SiC Trench MOSFETs With SiO2/Al2O3 Gate Dielectrics

作者 Jinyi Xu · Zhanwei Shen · Xuan Tang · Yu Huang · Yang Zhang · Shizhong Yue · Feng Zhang
期刊 IEEE Transactions on Electron Devices
出版日期 2025年12月
卷/期 第 73 卷 第 2 期
技术分类 功率器件技术
技术标签 SiC器件 宽禁带半导体 功率模块 可靠性分析
相关度评分 ★★★★ 4.0 / 5.0
关键词
语言:

中文摘要

本文实验揭示了低温沉积Al2O3栅介质SiC沟槽MOSFET中晶面取向依赖的载流子输运各向异性:(1̄100)侧壁沟道迁移率达31.6 cm²/V·s,比(11̄20)面高41%,击穿场强高4%;(1̄100)面更有效抑制Al/O扩散,提升SiC/介质界面质量。

English Abstract

Effectively characterizing carrier transport in miniaturized SiC trench MOSFETs $\cdot $ with high-permittivity (high- $\boldsymbol {\kappa } \text {)}$ -based dielectrics poses significant challenges. This work employs a simplified and innovative method to experimentally demonstrate anisotropic carrier transport in MOSFETs with low-temperature deposited gate dielectrics. The channel mobility on the ( ${{1}}\overline {{1}}{{00}}\text {)}$ trench sidewall reaches 31.6 cm2/V $\cdot $ s, which is 41% higher than the effective channel mobility of 22.4 cm2/V $\cdot $ s on the tilted ( ${{11}}\overline {{2}}{{0}}\text {)}$ plane. Meanwhile, the critical breakdown electric field of ( ${{1}}\overline {{1}}{{00}}\text {)}$ -faced trench device is 4% higher than that of tilted ( ${{11}}\overline {{2}}\mathbf {{0}}\text {)}$ -faced device. Elemental analysis indicates that the ( ${{1}}\overline {{1}}\mathbf {{00}}\text {)}$ plane effectively inhibits the diffusion of Al and O atoms into the SiC. Then, the Al2O3 layer on the ( ${{1}}\overline {{1}}{{00}}\text {)}$ planes was more densely packed, significantly improving the SiC/dielectric interface quality. These results lay a solid foundation for guiding the interface engineering and performance optimization of high- $\boldsymbol {\kappa }$ Al2O3 dielectrics in miniaturized SiC trench MOSFETs.
S

SunView 深度解读

该研究对阳光电源组串式逆变器、ST系列PCS及PowerTitan储能系统所用SiC功率模块的可靠性与效率提升具直接价值。优化(1̄100)晶面沟槽结构可降低导通损耗、提升高温高频工况下器件鲁棒性。建议在下一代SiC功率模块封装设计中协同晶向布局与界面钝化工艺,并在iSolarCloud平台中集成基于晶向可靠性的寿命预测模型。