A Physics-Based Compact Model for IGZO Channel FET Toward Subthreshold Characteristic Dependent Memory Application

Xuebin Wang, Kaifei Chen, Yutao Li, Jingsi Qiao, Yuanxiao Ma, Chengji Jin, Jixuan Wu, Jiezhi Chen, Masaharu Kobayashi, Guanhua Yang, Ling Li, Fei Mo*, Yeliang Wang*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

InGaZnO (IGZO) transistors and their related memory applications have recently aroused great interest among researchers. In this article, we consider a shallow donor with a Gaussian distribution as positive charge in the IGZO channel to analyze surface potential (φS) for subthreshold operation precisely. Meanwhile, a new surface potential analysis method for the IGZO channel is proposed considering 1) the effect of the floating body due to the lack of holes and 2) the effect of enhanced gate charge due to the electric field from the drain and source in the short channel. The proposed compact model demonstrates a good agreement with TCAD simulation and experimental results regarding device variation in all operation regions. Finally, a Monte Carlo simulation of IGZO ferroelectric field electric transistors (FeFET) and 2T0C IGZO FET DRAM, considering device and material properties variation shows the potential of this model for circuit-level simulations for memory applications.

源语言英语
页(从-至)2390-2398
页数9
期刊IEEE Transactions on Electron Devices
72
5
DOI
出版状态已出版 - 2025
已对外发布

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