通过瞬态电流观察商用碳化硅 MOSFET 负偏压不稳定性的机理

IF 1.4 4区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Mayank Chaturvedi , Daniel Haasmann , Philip Tanner , Sima Dimitrijev
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引用次数: 0

摘要

本文通过分析瞬态栅极电流,解释了商用 n 沟道碳化硅金属氧化物半导体场效应晶体管 (MOSFET) 负偏压不稳定性的机理。在不同温度下进行了电流-电压测量以及电容-电压测量,以确定平面 SiC MOSFET 中空穴捕获和去捕获的特性。实验结果表明,能级与价带对齐的近表面陷阱(NIT)通过隧道从价带捕获空穴,这与已发表的能级与能隙对齐的 NIT 的结果不同。此外,还证明了 p 型区的铝植入过程对空穴捕集的影响。所做的分析还显示,NIT 的空穴捕获仅限于 p 型区,这表明铝植入过程是检测到 NIT 的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mechanisms of negative bias instability of commercial SiC MOSFETs observed by current transients

This article explains the mechanisms of negative bias instability in commercial n-channel SiC metal–oxide semiconductor field-effect transistors (MOSFETs) by analysis of transient gate currents. The current–voltage measurements were performed at different temperatures along with capacitance–voltage measurements to characterise hole trapping and de-trapping in planar SiC MOSFETs. The experimental results reveal that near-interface traps (NITs) with energy levels aligned to the valence band trap holes from the valence band by tunneling, which is different from published results about NITs with energy levels aligned to the energy gap. The impact of the aluminium implantation process of the p-type region on hole trapping is also demonstrated. The presented analysis also reveals that the hole trapping by NITs is limited to the p-type region, indicating that the aluminium implantation process is responsible for the detected NITs.

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来源期刊
Solid-state Electronics
Solid-state Electronics 物理-工程:电子与电气
CiteScore
3.00
自引率
5.90%
发文量
212
审稿时长
3 months
期刊介绍: It is the aim of this journal to bring together in one publication outstanding papers reporting new and original work in the following areas: (1) applications of solid-state physics and technology to electronics and optoelectronics, including theory and device design; (2) optical, electrical, morphological characterization techniques and parameter extraction of devices; (3) fabrication of semiconductor devices, and also device-related materials growth, measurement and evaluation; (4) the physics and modeling of submicron and nanoscale microelectronic and optoelectronic devices, including processing, measurement, and performance evaluation; (5) applications of numerical methods to the modeling and simulation of solid-state devices and processes; and (6) nanoscale electronic and optoelectronic devices, photovoltaics, sensors, and MEMS based on semiconductor and alternative electronic materials; (7) synthesis and electrooptical properties of materials for novel devices.
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