新型无电容Z2FET DRAM的统计变异性模拟:从晶体管到电路

M. Duan, B. Cheng, F. Adamu-Lema, P. Asenov, T. Dutta, X. Wang, V. Georgiev, C. Millar, P. Pfaeffli, A. Asenov
{"title":"新型无电容Z2FET DRAM的统计变异性模拟:从晶体管到电路","authors":"M. Duan, B. Cheng, F. Adamu-Lema, P. Asenov, T. Dutta, X. Wang, V. Georgiev, C. Millar, P. Pfaeffli, A. Asenov","doi":"10.1109/SISPAD.2018.8551710","DOIUrl":null,"url":null,"abstract":"The downscaling of traditional DRAM [1] is facing challenges due to the presence of external capacitor. Z2FET [2–5] has been demonstrated as a promising DRAM candidate eliminating theneed for external capacitor. In the past, attention was focused on the optimization of device structure [5] and fabrication process [2] without paying much attention to the Statistical (local) Variability (SV) which is crucial for any memory technology. In this paper, a novel simulation methodology is proposed and the SV of DRAM Memory Window (MW) is investigated systematically. It is found that SV of MW is dominated by Metal Gate Granularity (MGG) coming from the Gated-SOI region of the Z2FET. Although Random Discrete Dopant (RDD) induced variations in the threshold voltage (Vth) has larger spread in the Intrinsic-SOI part, it has no significant effect on the overall Z2FET characteristics. Based on the proposed methodology, SV of MW at different process corners has also been studied. Results reveal the necessity for further process optimization due to the best corner giving rise not only to larger average MW but also less variations. Furthermore, circuit level read performance (including the variability) of a Z2FET-based memory cell have been evaluated. All these findings could guide the further performance optimization from both device and memory cell circuit point of view for Z2FET-based volatile memory product development.","PeriodicalId":170070,"journal":{"name":"2018 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Statistical Variability Simulation of Novel Capacitor-less Z2FET DRAM: From Transistor to}Circuit\",\"authors\":\"M. Duan, B. Cheng, F. Adamu-Lema, P. Asenov, T. Dutta, X. Wang, V. Georgiev, C. Millar, P. Pfaeffli, A. Asenov\",\"doi\":\"10.1109/SISPAD.2018.8551710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The downscaling of traditional DRAM [1] is facing challenges due to the presence of external capacitor. Z2FET [2–5] has been demonstrated as a promising DRAM candidate eliminating theneed for external capacitor. In the past, attention was focused on the optimization of device structure [5] and fabrication process [2] without paying much attention to the Statistical (local) Variability (SV) which is crucial for any memory technology. In this paper, a novel simulation methodology is proposed and the SV of DRAM Memory Window (MW) is investigated systematically. It is found that SV of MW is dominated by Metal Gate Granularity (MGG) coming from the Gated-SOI region of the Z2FET. Although Random Discrete Dopant (RDD) induced variations in the threshold voltage (Vth) has larger spread in the Intrinsic-SOI part, it has no significant effect on the overall Z2FET characteristics. Based on the proposed methodology, SV of MW at different process corners has also been studied. Results reveal the necessity for further process optimization due to the best corner giving rise not only to larger average MW but also less variations. Furthermore, circuit level read performance (including the variability) of a Z2FET-based memory cell have been evaluated. All these findings could guide the further performance optimization from both device and memory cell circuit point of view for Z2FET-based volatile memory product development.\",\"PeriodicalId\":170070,\"journal\":{\"name\":\"2018 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SISPAD.2018.8551710\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISPAD.2018.8551710","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

由于外部电容的存在,传统DRAM[1]的小型化面临挑战。Z2FET[2-5]已被证明是一种很有前途的DRAM候选者,无需外部电容器。过去,人们的注意力主要集中在器件结构[5]和制造工艺[2]的优化上,而对任何存储技术都至关重要的统计(局部)可变性(SV)没有太多关注。本文提出了一种新的仿真方法,系统地研究了DRAM内存窗的SV。结果表明,微波的SV主要由来自Z2FET栅极soi区的金属栅粒度(MGG)决定。尽管随机离散掺杂剂(RDD)引起的阈值电压(Vth)变化在Intrinsic-SOI部分具有较大的扩散性,但它对Z2FET的整体特性没有显著影响。在此基础上,还研究了不同工艺角下的超临界流体动力学特性。结果表明,由于最佳角不仅会产生较大的平均MW,而且会产生较小的变化,因此需要进一步优化工艺。此外,对基于z2fet的存储单元的电路级读取性能(包括可变性)进行了评估。所有这些发现都可以从器件和存储单元电路的角度指导基于z2fet的易失性存储器产品开发的进一步性能优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Statistical Variability Simulation of Novel Capacitor-less Z2FET DRAM: From Transistor to}Circuit
The downscaling of traditional DRAM [1] is facing challenges due to the presence of external capacitor. Z2FET [2–5] has been demonstrated as a promising DRAM candidate eliminating theneed for external capacitor. In the past, attention was focused on the optimization of device structure [5] and fabrication process [2] without paying much attention to the Statistical (local) Variability (SV) which is crucial for any memory technology. In this paper, a novel simulation methodology is proposed and the SV of DRAM Memory Window (MW) is investigated systematically. It is found that SV of MW is dominated by Metal Gate Granularity (MGG) coming from the Gated-SOI region of the Z2FET. Although Random Discrete Dopant (RDD) induced variations in the threshold voltage (Vth) has larger spread in the Intrinsic-SOI part, it has no significant effect on the overall Z2FET characteristics. Based on the proposed methodology, SV of MW at different process corners has also been studied. Results reveal the necessity for further process optimization due to the best corner giving rise not only to larger average MW but also less variations. Furthermore, circuit level read performance (including the variability) of a Z2FET-based memory cell have been evaluated. All these findings could guide the further performance optimization from both device and memory cell circuit point of view for Z2FET-based volatile memory product development.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Modeling Channel Length Scaling Impact on NBTI in RMG Si p-FinFETs Simulation of Hot-Electron Effects with Multi-band Semiconductor Devices Statistical Variability Simulation of Novel Capacitor-less Z2FET DRAM: From Transistor to}Circuit A versatile harmonic balance method in a parallel framework Inter-band coupling in Empirical Pseudopotential Method based bandstructure calculations of group IV and III-V nanostructures
×
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