Collaborative Research: Design, Modeling, Automation and Experimentation of Imperfection Immune Carbon Nanotube Field Effect Transitor Circuits
合作研究:不完美免疫碳纳米管场效应晶体管电路的设计、建模、自动化和实验
基本信息
- 批准号:0702343
- 负责人:
- 金额:$ 68.19万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-08-01 至 2011-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Collaborative Proposal ID: 0702343, 0702204PI name(s): Subhasish Mitra, Chongwu ZhouInstitution(s): Stanford University, University of Southerm CaliforniaTitle: Design, Modeling, Automation and Experimentation of Imperfection Immune Carbon Nanotube Field Effect Transitor CircuitsABSTRACT:One-dimensional nanodevices such as Carbon Nanotube Field-Effect Transistors (CNFETs) are promising candidates as extensions to traditional Silicon transistors due to excellent device performance. Device scaling of silicon transistors has been the fundamental basis for the phenomenal success of the semiconductor and electronics industry. While there have been significant accomplishments in scientific discovery in recent years at the single-device level at the nanoscale, a major gap exists between such single-device-level results and the research required to harness the science into practical design technologies competitive with silicon technologies at the end of device scaling. This project uses an interdisciplinary approach to overcome fundamental challenges by combining novel CNFET-based robust imperfection-immune design and automation techniques together with new CNFET modeling and processing techniques. The ideas developed in this project will be experimentally validated through working CNFET-based circuits. This research program also integrates research and education required to explore novel, nanoscale electronic designs through graduate and undergraduate training, and public education on nanotechnology.
协作提案ID:0702343,0702204PI名称:Subhasish Mitra,Chongwu Zhouinstitution(S):斯坦福大学,南加州大学的斯坦福大学:设计,建模,自动化,自动化,自动化和实验不完美的碳Nanotube Fieldiber crockuite crockuiteTorks诸如Nananotortions crockuittorts诸如ONANINET cORCANITORTIST:ONANINITIONS TROCKENTORTITS TRACKENTRAINS TRACKETSTRATES TRESSITORTITS TRESSITORTITS TRESSITORTITIONS TRACENTINTIONS录制为:由于设备性能出色,因此野外效应晶体管(CNFET)是对传统硅晶体管的扩展。硅晶体管的设备缩放一直是半导体和电子行业取得惊人成功的基本基础。尽管近年来在纳米级的单个设备水平上的科学发现取得了重大成就,但这种单个设备级的结果与将科学纳入现实设计技术的研究所需的研究之间存在一个主要差距,该技术在设备缩放结束时与硅技术竞争。该项目采用跨学科方法来克服基本挑战,通过结合基于CNFET的新型鲁棒不完美 - 免疫设计和自动化技术以及新的CNFET建模和处理技术。 该项目中开发的想法将通过基于CNFET的工作电路实验验证。该研究计划还整合了通过研究生和本科培训以及纳米技术的公共教育探索新颖,纳米级电子设计所需的研究和教育。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Subhasish Mitra其他文献
Dendrite-inspired Computing to Improve Resilience of Neural Networks to Faults in Emerging Memory Technologies
树突启发计算可提高神经网络对新兴内存技术故障的恢复能力
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
L. K. John;F. M. G. França;Subhasish Mitra;Zachary Susskind;P. M. V. Lima;Igor D. S. Miranda;E. B. John;Diego L. C. Dutra;M. Breternitz - 通讯作者:
M. Breternitz
Effect of bubble surface loading on bubble rise velocity
- DOI:
10.1016/j.mineng.2021.107252 - 发表时间:
2021-12-01 - 期刊:
- 影响因子:
- 作者:
Ai Wang;Mohammad Mainul Hoque;Roberto Moreno-Atanasio;Elham Doroodchi;Geoffrey Evans;Subhasish Mitra - 通讯作者:
Subhasish Mitra
Cooling future system-on-chips with diamond inter-tiers
使用金刚石中间层冷却未来片上系统
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:8.9
- 作者:
M. Malakoutian;Anna Kasperovich;Dennis Rich;Kelly Woo;Christopher Perez;R. Soman;Devansh Saraswat;Jeong;Maliha Noshin;Michelle Chen;Sam Vaziri;Xinyu Bao;Che Chi Shih;W. Woon;M. Asheghi;Kenneth E. Goodson;S. Liao;Subhasish Mitra;Srabanti Chowdhury - 通讯作者:
Srabanti Chowdhury
Efficient seed utilization for reseeding based compression [logic testing]
基于重新播种的压缩的高效种子利用[逻辑测试]
- DOI:
- 发表时间:
2003 - 期刊:
- 影响因子:0
- 作者:
E. Volkerink;Subhasish Mitra - 通讯作者:
Subhasish Mitra
Dynamics of gas dispersion in a rising bubble plume in presence of surfactant
- DOI:
10.1016/j.mineng.2024.109145 - 发表时间:
2025-03-01 - 期刊:
- 影响因子:
- 作者:
Abdullaziz Glabe Zakari;Mohammad Mainul Hoque;Peter Ireland;Geoffrey Evans;Subhasish Mitra - 通讯作者:
Subhasish Mitra
Subhasish Mitra的其他文献
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{{ truncateString('Subhasish Mitra', 18)}}的其他基金
Collaborative Research: SHF: Small: Quasi Weightless Neural Networks for Energy-Efficient Machine Learning on the Edge
合作研究:SHF:小型:用于边缘节能机器学习的准失重神经网络
- 批准号:
2326895 - 财政年份:2023
- 资助金额:
$ 68.19万 - 项目类别:
Standard Grant
FuSe-TG: The Future of Semiconductor Technologies for Computing through Device-Architecture-Application Co-Design
FuSe-TG:通过设备-架构-应用协同设计进行计算的半导体技术的未来
- 批准号:
2235329 - 财政年份:2023
- 资助金额:
$ 68.19万 - 项目类别:
Standard Grant
E2CDA: Type I: Collaborative Research: Energy Efficient Learning Machines (ENIGMA)
E2CDA:类型 I:协作研究:节能学习机 (ENIGMA)
- 批准号:
1640078 - 财政年份:2016
- 资助金额:
$ 68.19万 - 项目类别:
Continuing Grant
Collaborative Research: Visual Cortex on Silicon
合作研究:硅上视觉皮层
- 批准号:
1317470 - 财政年份:2013
- 资助金额:
$ 68.19万 - 项目类别:
Continuing Grant
Workshop: Bugs and Defects in Electronic Systems: The Next Frontier
研讨会:电子系统中的错误和缺陷:下一个前沿
- 批准号:
1341270 - 财政年份:2013
- 资助金额:
$ 68.19万 - 项目类别:
Standard Grant
SHF:Medium:Collaborative Research: AgeELESS: Aging Estimation and Lifetime Enhancement in Silicon Systems
SHF:中:合作研究:AgeELESS:硅系统中的老化估计和寿命增强
- 批准号:
1161332 - 财政年份:2012
- 资助金额:
$ 68.19万 - 项目类别:
Continuing Grant
II-NEW: Robust Carbon Nanotube Technology for Energy-Efficient Computing Systems: A Processing and Design Infrastructure for Emerging Nanotechnologies
II-新:用于节能计算系统的稳健碳纳米管技术:新兴纳米技术的处理和设计基础设施
- 批准号:
1059020 - 财政年份:2011
- 资助金额:
$ 68.19万 - 项目类别:
Standard Grant
Collaborative Research: Variability-Aware Software for Efficient Computing with Nanoscale Devices
协作研究:利用纳米级设备进行高效计算的可变性感知软件
- 批准号:
1028831 - 财政年份:2010
- 资助金额:
$ 68.19万 - 项目类别:
Continuing Grant
Collaborative Research: Globally Optimized Robust Systems on Multi-Core Hardware
协作研究:多核硬件上的全局优化鲁棒系统
- 批准号:
0903459 - 财政年份:2009
- 资助金额:
$ 68.19万 - 项目类别:
Standard Grant
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