用于生物传感器的扩展栅极TFET结构参数变化研究

S. Mukherjee, Somnath Chakraborty, D. Diwakar, A. Laha, U. Ganguly, S. Ganguly
{"title":"用于生物传感器的扩展栅极TFET结构参数变化研究","authors":"S. Mukherjee, Somnath Chakraborty, D. Diwakar, A. Laha, U. Ganguly, S. Ganguly","doi":"10.23919/EECSI50503.2020.9251884","DOIUrl":null,"url":null,"abstract":"Traditional Gate engineered Metal Oxide Semiconductor (MOS) technology faced serious challenges in terms of greater sensitivity for target biomolecules and to be utilized as the state-of-the-art Nano-recognition tool. Research on a tunnel field-effect transistor (TFET) started with the aim to achieve fast detection, low power consumption, and its potential for on-chip integration capability. Dielectric Modulated TFET (DMTFET) has established itself to be a primary candidate for sensing both charged and charge-neutral species with volumetric sensitivity. As extended gate DMTFET happens to be inferior to its short gate counterpart, we have devised ways to achieve superior performance only by making variations over structural electrostatics. With the incorporation of most possible ways of modulation, we present two orders of magnitude on-current increment and a considerable percentage of sensitivity improvement over the conventional one. Future scopes having noteworthy diversifications have also been analyzed with proper justification.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"106 1","pages":"187-191"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Investigation of Structural Parameter Variation on Extended Gate TFET for Bio-Sensor Applications\",\"authors\":\"S. Mukherjee, Somnath Chakraborty, D. Diwakar, A. Laha, U. Ganguly, S. Ganguly\",\"doi\":\"10.23919/EECSI50503.2020.9251884\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional Gate engineered Metal Oxide Semiconductor (MOS) technology faced serious challenges in terms of greater sensitivity for target biomolecules and to be utilized as the state-of-the-art Nano-recognition tool. Research on a tunnel field-effect transistor (TFET) started with the aim to achieve fast detection, low power consumption, and its potential for on-chip integration capability. Dielectric Modulated TFET (DMTFET) has established itself to be a primary candidate for sensing both charged and charge-neutral species with volumetric sensitivity. As extended gate DMTFET happens to be inferior to its short gate counterpart, we have devised ways to achieve superior performance only by making variations over structural electrostatics. With the incorporation of most possible ways of modulation, we present two orders of magnitude on-current increment and a considerable percentage of sensitivity improvement over the conventional one. Future scopes having noteworthy diversifications have also been analyzed with proper justification.\",\"PeriodicalId\":6743,\"journal\":{\"name\":\"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)\",\"volume\":\"106 1\",\"pages\":\"187-191\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/EECSI50503.2020.9251884\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/EECSI50503.2020.9251884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

传统的栅极工程金属氧化物半导体(MOS)技术在对目标生物分子的更高灵敏度和作为最先进的纳米识别工具方面面临着严峻的挑战。隧道场效应晶体管(ttfet)的研究始于实现快速检测、低功耗和片上集成能力的潜力。介电调制TFET (DMTFET)已经确立了自己的主要候选传感带电和电荷中性物质与体积灵敏度。由于扩展栅极DMTFET碰巧不如其短栅极对应物,我们已经设计出仅通过改变结构静电来实现优越性能的方法。与大多数可能的调制方式相结合,我们提出了两个数量级的电流增量和相当比例的灵敏度提高比传统的。未来有值得注意的多样化范围也有适当的理由进行了分析。
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
Investigation of Structural Parameter Variation on Extended Gate TFET for Bio-Sensor Applications
Traditional Gate engineered Metal Oxide Semiconductor (MOS) technology faced serious challenges in terms of greater sensitivity for target biomolecules and to be utilized as the state-of-the-art Nano-recognition tool. Research on a tunnel field-effect transistor (TFET) started with the aim to achieve fast detection, low power consumption, and its potential for on-chip integration capability. Dielectric Modulated TFET (DMTFET) has established itself to be a primary candidate for sensing both charged and charge-neutral species with volumetric sensitivity. As extended gate DMTFET happens to be inferior to its short gate counterpart, we have devised ways to achieve superior performance only by making variations over structural electrostatics. With the incorporation of most possible ways of modulation, we present two orders of magnitude on-current increment and a considerable percentage of sensitivity improvement over the conventional one. Future scopes having noteworthy diversifications have also been analyzed with proper justification.
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
Aquatic Iguana: A Floating Waste Collecting Robot with IoT Based Water Monitoring System Improving the Anomaly Detection by Combining PSO Search Methods and J48 Algorithm A Wireless ECG Device with Mobile Applications for Android Features Extraction on IoT Intrusion Detection System Using Principal Components Analysis (PCA) Deep Convolutional Architecture for Block-Based Classification of Small Pulmonary Nodules
×
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