Comparative Study of Single and Double Barrier GaAs/Al0.3Ga0.7As Based Resonant Tunneling Diodes Considering NEGF

M. Hasan, M. Ali, Md. Kamrul Hasan, Shaira Tashnub Torsa, Mahfujur Rahman
{"title":"Comparative Study of Single and Double Barrier GaAs/Al0.3Ga0.7As Based Resonant Tunneling Diodes Considering NEGF","authors":"M. Hasan, M. Ali, Md. Kamrul Hasan, Shaira Tashnub Torsa, Mahfujur Rahman","doi":"10.53799/ajse.v21i3.507","DOIUrl":null,"url":null,"abstract":"The growth of pepped-up determining demand of final consumers always forces devices and circuits to increase power and speed. Only resonant tunneling diode can solve this problem and can be able to take a vital role in many nanoscale applications. This research paper demonstrates the simulations of the Resonant Tunneling Diode (RTD) by using Hartree Model for the single barrier (1B) and the double barrier (2B) Resonant Tunneling Diodes by the using of NEMO5 considering NEGF. In addition, switching applications also require a Large Peak to Valley Voltage Ratio (PVVR) to reduce energy loss. In this article, it has been clearly explained that compared to the Thomas Fermi Model, Hartree Model improves the Peak to Voltage Valley Ratio (PVVR) by 21.21%. The results of the Double Barrier RTD showed much better performance than the Single Barrier RTD. Furthermore, the I-V characteristic verified the notable improvement for the Hartree model.","PeriodicalId":224436,"journal":{"name":"AIUB Journal of Science and Engineering (AJSE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AIUB Journal of Science and Engineering (AJSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53799/ajse.v21i3.507","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The growth of pepped-up determining demand of final consumers always forces devices and circuits to increase power and speed. Only resonant tunneling diode can solve this problem and can be able to take a vital role in many nanoscale applications. This research paper demonstrates the simulations of the Resonant Tunneling Diode (RTD) by using Hartree Model for the single barrier (1B) and the double barrier (2B) Resonant Tunneling Diodes by the using of NEMO5 considering NEGF. In addition, switching applications also require a Large Peak to Valley Voltage Ratio (PVVR) to reduce energy loss. In this article, it has been clearly explained that compared to the Thomas Fermi Model, Hartree Model improves the Peak to Voltage Valley Ratio (PVVR) by 21.21%. The results of the Double Barrier RTD showed much better performance than the Single Barrier RTD. Furthermore, the I-V characteristic verified the notable improvement for the Hartree model.
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
考虑NEGF的单、双势垒GaAs/Al0.3Ga0.7As谐振隧道二极管的比较研究
最终消费者高涨的决定需求的增长总是迫使设备和电路提高功率和速度。只有谐振隧道二极管才能解决这一问题,并在许多纳米级应用中发挥重要作用。本文采用Hartree模型对考虑NEGF的单势垒(1B)和双势垒(2B)谐振隧道二极管(RTD)进行了仿真研究。此外,开关应用还需要较大的峰谷电压比(PVVR)来减少能量损失。在本文中,已经清楚地解释了与Thomas Fermi模型相比,Hartree模型将峰值电压谷比(PVVR)提高了21.21%。结果表明,双势垒RTD的性能明显优于单势垒RTD。此外,I-V特性验证了Hartree模型的显着改进。
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
自引率
0.00%
发文量
0
期刊最新文献
Performance Prediction of A Power Generation Gas Turbine Using An Optimized Artificial Neural Network Model Advancing Fuzzy Logic: A Hierarchical Fuzzy System Approach WVEHDD: Weighted Voting based Ensemble System for Heart Disease Detection Predictions of Malaysia Age-Specific Fertility Rates using the Lee-Carter and the Functional Data Approaches Performance Analysis of Automatic Generation Control for a Multi-Area Interconnected System Using Genetic Algorithm and Particle Swarm Optimization Technique
×
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