基于finfet的铁电存储器件的低压极化开关,利用电场非线性

IF 2.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Shreyam Natani, P. R. Bandaru
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引用次数: 0

摘要

提出了基于铁电场效应晶体管(FE-FET)存储器件的非平面几何特性,旨在降低编程/擦除电压。其基础是与平面FE- fet中的FE薄膜相比,与基于fin的FE- finfet集成的FE薄膜中的电场增强。本文还提出了一种新的设计(DE/FE- finfet),将FE和介电(DE)材料结合在finfet栅极堆叠中。模型和技术计算机辅助设计仿真表明,基于fin的fe - fet在较低电压下具有较大的存储窗口。研究发现,与平面结构相比,在非平面几何结构下,fe - finfet和DE/ fe - finfet的电压分别降低了11%和33%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-voltage polarization switching in ferroelectric FinFET-based memory devices, using electric field nonlinearities

Characteristics inherent to nonplanar geometries, with an aim to reduce program/erase voltages in ferroelectric field-effect transistor (FE-FET)-based memory devices, are proposed. The basis is the enhancement of the electric field in the FE films integrated with Fin-based FE-FETs (FE-FinFET), compared to FE films in planar FE-FETs. A new design (DE/FE-FinFET), based on combining FE and dielectric (DE) materials in the gate stack of FinFETs, is also proposed. Modeling and technology computer-aided design simulations indicate larger memory window at lower voltages in Fin-based FE-FETs. It is found that with nonplanar geometries a memory window can be observed at voltages 11% lower with FE-FinFETs and 33% lower with DE/FE-FinFETs compared to planar configurations.

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来源期刊
Journal of Computational Electronics
Journal of Computational Electronics ENGINEERING, ELECTRICAL & ELECTRONIC-PHYSICS, APPLIED
CiteScore
4.50
自引率
4.80%
发文量
142
审稿时长
>12 weeks
期刊介绍: he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered. In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.
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