A Virtual Fabrication and High-Performance Design of 65 nm Nanocrystal Floating-Gate Transistor

IF 0.8 Q3 ENGINEERING, MULTIDISCIPLINARY Modelling and Simulation in Engineering Pub Date : 2024-01-24 DOI:10.1155/2024/5162989
Thinh Dang Cong, Trang Hoang
{"title":"A Virtual Fabrication and High-Performance Design of 65 nm Nanocrystal Floating-Gate Transistor","authors":"Thinh Dang Cong, Trang Hoang","doi":"10.1155/2024/5162989","DOIUrl":null,"url":null,"abstract":"Floating-gate transistor lies at the heart of many aspects of semiconductor applications such as neural networks, analog mixed-signal, neuromorphic computing, and especially in nonvolatile memories. The purpose of this paper was to design a high-performance nanocrystal floating-gate transistor in terms of a large memory window, low power, and extraordinary erasing speeds. Besides, the transistor achieves a thin thickness of the tunnel gate oxide layer. In order to obtain the high-performance design, this work proposed a set of structure parameters for the device such as the tunnel oxide layer thickness, Interpoly Dielectric (IPD), dot dimension, and dot spacing. Besides, this work was successful in the virtual fabrication process and methodology to fabricate and characterize the 65 nm nanocrystal floating-gate transistor. Regarding the results, while the fabrication process solves the limitation of the tunnel oxide layer thickness with the small value of 6 nm, the performance of the transistor has been significantly improved, such as 2.8 V of the memory window with the supply voltage of ±6 V at the control gate. In addition, the operation speeds are compatible, especially the rapid erasing speeds of 2.03 μs, 28.6 ns, and 1.6 ns when the low control gate voltages are ±9 V, ±12 V, and ±15 V, respectively.","PeriodicalId":45541,"journal":{"name":"Modelling and Simulation in Engineering","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Modelling and Simulation in Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2024/5162989","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Floating-gate transistor lies at the heart of many aspects of semiconductor applications such as neural networks, analog mixed-signal, neuromorphic computing, and especially in nonvolatile memories. The purpose of this paper was to design a high-performance nanocrystal floating-gate transistor in terms of a large memory window, low power, and extraordinary erasing speeds. Besides, the transistor achieves a thin thickness of the tunnel gate oxide layer. In order to obtain the high-performance design, this work proposed a set of structure parameters for the device such as the tunnel oxide layer thickness, Interpoly Dielectric (IPD), dot dimension, and dot spacing. Besides, this work was successful in the virtual fabrication process and methodology to fabricate and characterize the 65 nm nanocrystal floating-gate transistor. Regarding the results, while the fabrication process solves the limitation of the tunnel oxide layer thickness with the small value of 6 nm, the performance of the transistor has been significantly improved, such as 2.8 V of the memory window with the supply voltage of ±6 V at the control gate. In addition, the operation speeds are compatible, especially the rapid erasing speeds of 2.03 μs, 28.6 ns, and 1.6 ns when the low control gate voltages are ±9 V, ±12 V, and ±15 V, respectively.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
65 纳米纳米晶体浮栅晶体管的虚拟制造和高性能设计
浮栅晶体管是神经网络、模拟混合信号、神经形态计算等半导体应用的核心,尤其是在非易失性存储器中。本文旨在设计一种高性能纳米晶体浮动栅晶体管,它具有大存储窗口、低功耗和超快擦除速度等特点。此外,该晶体管还实现了较薄的隧道栅氧化层厚度。为了获得高性能的设计,这项研究提出了一套器件结构参数,如隧道氧化层厚度、聚间电介质(IPD)、点尺寸和点间距。此外,这项研究还成功地利用虚拟制造工艺和方法制造出了 65 nm 纳米晶体浮动栅晶体管并对其进行了表征。结果表明,该制造工艺解决了隧道氧化层厚度的限制,其厚度仅为 6 nm,晶体管的性能得到了显著提高,例如在控制栅极的电源电压为 ±6 V 时,存储器窗口的电压为 2.8 V。此外,运行速度也很合适,特别是当控制栅极低电压为 ±9 V、±12 V 和 ±15 V 时,快速擦除速度分别为 2.03 μs、28.6 ns 和 1.6 ns。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Modelling and Simulation in Engineering
Modelling and Simulation in Engineering ENGINEERING, MULTIDISCIPLINARY-
CiteScore
2.70
自引率
3.10%
发文量
42
审稿时长
18 weeks
期刊介绍: Modelling and Simulation in Engineering aims at providing a forum for the discussion of formalisms, methodologies and simulation tools that are intended to support the new, broader interpretation of Engineering. Competitive pressures of Global Economy have had a profound effect on the manufacturing in Europe, Japan and the USA with much of the production being outsourced. In this context the traditional interpretation of engineering profession linked to the actual manufacturing needs to be broadened to include the integration of outsourced components and the consideration of logistic, economical and human factors in the design of engineering products and services.
期刊最新文献
Finite Element Modelling and Simulation of Tunnel Gates of Dam Structures in ABAQUS Using Reduced-Integrated 8-Node Hexahedral Solid-Shell Element Modeling and Simulation of the Effect of Airbag Thickness on the Performance of Extended Handle Pneumatic Floor Jack Assessment of Fractional and Integer Order Models of Induction Motor Using MATLAB/Simulink State of the Art of Modelling and Design Approaches for Ejectors in Proton Exchange Membrane Fuel Cell Predictive Modeling of Environmental Impact on Drone Datalink Communication System
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1