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Identifying the spatial position and properties of traps in GaN HEMTs using current transient spectroscopy

机译:使用电流瞬变光谱识别GaN HEMT中陷阱的空间位置和性质

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Time constant spectra are extracted from current transients based on the Bayesian deconvolution and used to characterize traps in GaN high-electron mobility transistors. Two kinds of traps with different time constants in an actual device were identified in the AIGaN barrier layer and the GaN layer, respectively. In particular, the trapping process in the AIGaN barrier layer was identified at the region near the drain side under gate contact. Trapping mechanisms of both two traps are discussed. Additionally, we observe that the trap in the AlGaN barrier layer requires sufficient electric field to activate the trapping process and a high drain voltage (V-ds) accelerates the trapping processes both in the AIGaN barrier layer and the GaN,layer. In addition, detrapping experiments with different filling conditions were performed to confirm their spatial positions. The influence of self-heating is excluded during the experiment by keeping the power density at a very low level, and the trapping effect is the sole factor accounting for the current transients. (C) 2016 Elsevier Ltd. All rights reserved.
机译:基于贝叶斯反卷积从电流瞬变中提取时间常数频谱,并将其用于表征GaN高电子迁移率晶体管中的陷阱。在实际的器件中,分别在AIGaN势垒层和GaN层中识别出两种具有不同时间常数的陷阱。特别地,在栅极接触下的漏极侧附近的区域中识别出AIGaN势垒层中的俘获过程。讨论了两个陷阱的陷阱机制。此外,我们观察到AlGaN势垒层中的陷阱需要足够的电场来激活陷阱过程,而高漏极电压(V-ds)会加速AIGaN势垒层和GaN层中的陷阱过程。另外,进行了具有不同填充条件的诱捕实验以确认其空间位置。在实验过程中,通过将功率密度保持在非常低的水平,可以排除自热的影响,并且陷波效应是解决电流瞬变的唯一因素。 (C)2016 Elsevier Ltd.保留所有权利。

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