Buried-Channel Ferroelectric FET as Energy Efficient and Reliable 1T-NVM

Saikat Chakraborty, J. Kulkarni
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Abstract

The unprecedented growth in the adoption of Deep Neural Networks (DNN) for variety of ML/AI applications has resulted into a data deluge [1]. Among the prevalent and emerging memories, Ferroelectric Field Effect Transistor (FeFET) based memory [2]–[4], which leverages recently discovered ferroelectric properties in Hafnium/Zirconium oxides (HZO), is very promising as along with CMOS compatibility it can offer the non-volatility, dense 1-Transitor bitcells, high speed read operation, and multi-level-cell functionality. Despite the promising attributes, critical fundamental roadblocks exist in the FeFET advancement such as high program/erase voltage (±4V), poor reliability due to thin inter-layer dielectric (ILD) experiencing high electric field and large depolarizing field degrading the retention time [1], [2]. Several works have addressed these issues by introducing a circular channel geometry in recessed-channel FeFET (C-FeFET) [5], decoupling the ferroelectric layer from the MOSFET in Ferroelectric-Metal-FET (FeMFET) [6] or by connecting multiple Metal-Ferroelectric-Metal (MFeM) capacitors to the MOSFET gate terminal forming a multiple-FeMFET [7] (Fig. 1). However, C-FeFET reduces the write voltage in a limited manner because of significant voltage drop across the ILD. FeMFET or multiple-FeMFET introduces floating intermediate node between MFeM capacitor and MOSFET gate stacks which increases the depolarizing field.
埋沟道铁电场效应管作为高效可靠的1T-NVM
在各种ML/AI应用中采用深度神经网络(DNN)的空前增长导致了数据泛滥[1]。在流行和新兴的存储器中,基于铁电场效应晶体管(FeFET)的存储器[2]-[4]利用了最近在铪/氧化锆(HZO)中发现的铁电特性,非常有前途,因为它可以提供非易失性,密集的1-晶体管位单元,高速读取操作和多层单元功能。尽管FeFET具有很好的特性,但仍存在一些关键的基本障碍,如高编程/擦除电压(±4V),由于薄层间介电体(ILD)经历高电场和大去极化场而降低保持时间而导致可靠性差[1],[2]。一些研究通过在凹沟道ffet (C-FeFET)中引入圆形沟道几何结构[5],将铁电层与铁电-金属- fet (FeMFET)中的MOSFET解耦[6],或通过将多个金属-铁电-金属(MFeM)电容器连接到MOSFET栅极端形成多个FeMFET[7](图1)来解决这些问题。然而,C-FeFET以有限的方式降低写入电压,因为在ILD上存在显著的电压降。FeMFET或多FeMFET在MFeM电容器和MOSFET栅极堆之间引入了浮动的中间节点,增加了去极化场。
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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