Random discrete dopant induced variability in negative capacitance transistors

T. Dutta, V. Georgiev, A. Asenov
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引用次数: 9

Abstract

In this work we investigate the impact of random discrete dopants (RDD) induced statistical variability in ferroelectric negative capacitance field effect transistors (NCFETs). We couple the 3D ‘atomistic’ statistical device simulator GARAND with the Landau — Khalatnikov equation of the ferroelectric for this study. We found that the negative capacitance effect provided by the ferroelectric layer can lead to suppression of the RDD induced variability in the threshold voltage (Vt), OFF-current (IOFF), and ON-current (ION). This immunity to RDD induced variability increases with increase in the ferroelectric thickness.
负电容晶体管中随机离散掺杂诱导的可变性
在这项工作中,我们研究了随机离散掺杂剂(RDD)在铁电负电容场效应晶体管(ncfet)中引起的统计变异性的影响。我们将三维“原子”统计器件模拟器GARAND与铁电的朗道-卡拉特尼科夫方程耦合在一起进行研究。我们发现铁电层提供的负电容效应可以抑制RDD诱导的阈值电压(Vt)、关断电流(IOFF)和通断电流(ION)的可变性。这种对RDD诱导变异的免疫力随着铁电厚度的增加而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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