SHF: Small: Collaborative Research: Graphene Circuits for Analog, Mixed-Signal, and RF Applications
SHF:小型:协作研究:用于模拟、混合信号和射频应用的石墨烯电路
基本信息
- 批准号:1217738
- 负责人:
- 金额:$ 25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-10-01 至 2018-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Graphene transistors are widely considered exciting candidates for analog, mixed-signal, and radio frequency systems in high-frequency applications. This collaborative research project is aimed at the design, development, and demonstration of monolithically integrated graphene circuits for radio frequency and analog mixed-signal systems. It will add to the core knowledge of the principles of circuit design based on ambipolar graphene field-effect transistors, with an emphasis on amplifiers, phase detectors, and comparators - three promising candidate solutions for practical radio frequency applications. Through closely coordinated theoretical, computational, and experimental efforts, it will be demonstrated that such graphene circuits can not only reduce the complexity of the electronic circuits, but also realize larger bandwidth, higher frequency, and lower power consumption than state-of-the-art circuits implemented with conventional semiconductor materials.The broader impact of this project includes technical advances required to harness the early science of graphene transistors into practical solutions for radio frequency applications. The graphene circuits to be designed and demonstrated in this project can be used in consumer electronics and communication gadgets such as smart-phones as well as in radars and wireless sensors. The unique material properties of graphene combined with the innovative circuit designs that exploit these properties are expected to lead to major increase in the performance of the radio frequency devices as well as a reduction in their weight and power consumption. Another core outcome of this project with broad technological impact will be an integrated test-bed and web-based resources to facilitate research in graphene electronics. Through collaborations with a broad range of academic, industry, and government investigators, this collaborative effort will strengthen ties between the device, circuit, and radio frequency communities, and accelerate convergence to key design parameters essential for the large scale integration and application of graphene electronics. The project plan will help in educating undergraduate and graduate students in technical disciplines in both participating universities. The project will produce a positive impact on educating students underrepresented in science and engineering via their early involvement in the practically relevant computational and experimental research.
石墨烯晶体管被广泛认为是高频应用中模拟、混合信号和射频系统的令人兴奋的候选材料。该合作研究项目旨在设计,开发和演示用于射频和模拟混合信号系统的单片集成石墨烯电路。它将增加基于双极石墨烯场效应晶体管的电路设计原理的核心知识,重点是放大器,相位检测器和比较器-实际射频应用的三个有前途的候选解决方案。通过密切协调的理论、计算和实验努力,将证明这种石墨烯电路不仅可以降低电子电路的复杂性,还可以实现更大的带宽、更高的频率,而且功耗比最先进的用传统半导体材料实现的艺术电路。该项目的更广泛影响包括利用早期科学所需的技术进步,石墨烯晶体管转化为射频应用的实际解决方案。该项目中设计和演示的石墨烯电路可用于消费电子和通信设备,如智能手机以及雷达和无线传感器。石墨烯独特的材料特性与利用这些特性的创新电路设计相结合,预计将大大提高射频器件的性能,并降低其重量和功耗。该项目的另一个具有广泛技术影响的核心成果将是一个集成的测试平台和基于网络的资源,以促进石墨烯电子学的研究。通过与广泛的学术,工业和政府调查人员的合作,这项合作努力将加强器件,电路和射频社区之间的联系,并加速融合到石墨烯电子大规模集成和应用所必需的关键设计参数。该项目计划将有助于在两所参与大学中培养技术学科的本科生和研究生。该项目将产生积极的影响,通过他们在实际相关的计算和实验研究的早期参与教育学生在科学和工程的代表性不足。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Kartik Mohanram其他文献
Analytical model-based technique for efficient evaluation of noise robustness considering parameter variations
- DOI:
10.1007/s10470-008-9200-y - 发表时间:
2008-08-14 - 期刊:
- 影响因子:1.400
- 作者:
Yehia Massoud;Sami Kirolos;Kartik Mohanram - 通讯作者:
Kartik Mohanram
Kartik Mohanram的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Kartik Mohanram', 18)}}的其他基金
SHF: Small: Lookahead Logic Circuits for Performance, Power, and Reliability
SHF:小型:前瞻逻辑电路的性能、功耗和可靠性
- 批准号:
1211099 - 财政年份:2011
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
SHF: Small: Collaborative Research: Modeling, Simulation, and Design for Performance and Reliability in Carbon-based Electronics
SHF:小型:协作研究:碳基电子产品性能和可靠性的建模、仿真和设计
- 批准号:
1208934 - 财政年份:2011
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
CAREER: Design Optimization for Robustness to Single-Event Effects
职业:单粒子效应鲁棒性的设计优化
- 批准号:
1208933 - 财政年份:2011
- 资助金额:
$ 25万 - 项目类别:
Continuing Grant
SHF: Small: Lookahead Logic Circuits for Performance, Power, and Reliability
SHF:小型:前瞻逻辑电路的性能、功耗和可靠性
- 批准号:
0917226 - 财政年份:2009
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
SHF: Small: Collaborative Research: Modeling, Simulation, and Design for Performance and Reliability in Carbon-based Electronics
SHF:小型:协作研究:碳基电子产品性能和可靠性的建模、仿真和设计
- 批准号:
0916636 - 财政年份:2009
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
CAREER: Design Optimization for Robustness to Single-Event Effects
职业:单粒子效应鲁棒性的设计优化
- 批准号:
0746850 - 财政年份:2008
- 资助金额:
$ 25万 - 项目类别:
Continuing Grant
SGER: Understanding Unreliable Computation: Theory and Practice
SGER:理解不可靠计算:理论与实践
- 批准号:
0701547 - 财政年份:2007
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Design Automation Summer School 2007
2007 年设计自动化暑期学校
- 批准号:
0732367 - 财政年份:2007
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Design Automation Summer School 2005
2005 年设计自动化暑期学校
- 批准号:
0523329 - 财政年份:2005
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
相似国自然基金
昼夜节律性small RNA在血斑形成时间推断中的法医学应用研究
- 批准号:
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
tRNA-derived small RNA上调YBX1/CCL5通路参与硼替佐米诱导慢性疼痛的机制研究
- 批准号:
- 批准年份:2022
- 资助金额:10.0 万元
- 项目类别:省市级项目
Small RNA调控I-F型CRISPR-Cas适应性免疫性的应答及分子机制
- 批准号:32000033
- 批准年份:2020
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
Small RNAs调控解淀粉芽胞杆菌FZB42生防功能的机制研究
- 批准号:31972324
- 批准年份:2019
- 资助金额:58.0 万元
- 项目类别:面上项目
变异链球菌small RNAs连接LuxS密度感应与生物膜形成的机制研究
- 批准号:81900988
- 批准年份:2019
- 资助金额:21.0 万元
- 项目类别:青年科学基金项目
肠道细菌关键small RNAs在克罗恩病发生发展中的功能和作用机制
- 批准号:31870821
- 批准年份:2018
- 资助金额:56.0 万元
- 项目类别:面上项目
基于small RNA 测序技术解析鸽分泌鸽乳的分子机制
- 批准号:31802058
- 批准年份:2018
- 资助金额:26.0 万元
- 项目类别:青年科学基金项目
Small RNA介导的DNA甲基化调控的水稻草矮病毒致病机制
- 批准号:31772128
- 批准年份:2017
- 资助金额:60.0 万元
- 项目类别:面上项目
基于small RNA-seq的针灸治疗桥本甲状腺炎的免疫调控机制研究
- 批准号:81704176
- 批准年份:2017
- 资助金额:20.0 万元
- 项目类别:青年科学基金项目
水稻OsSGS3与OsHEN1调控small RNAs合成及其对抗病性的调节
- 批准号:91640114
- 批准年份:2016
- 资助金额:85.0 万元
- 项目类别:重大研究计划
相似海外基金
Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale
协作研究:SHF:小型:LEGAS:大规模学习演化图
- 批准号:
2331302 - 财政年份:2024
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale
协作研究:SHF:小型:LEGAS:大规模学习演化图
- 批准号:
2331301 - 财政年份:2024
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Small: Efficient and Scalable Privacy-Preserving Neural Network Inference based on Ciphertext-Ciphertext Fully Homomorphic Encryption
合作研究:SHF:小型:基于密文-密文全同态加密的高效、可扩展的隐私保护神经网络推理
- 批准号:
2412357 - 财政年份:2024
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
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:
$ 25万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Small: Enabling Efficient 3D Perception: An Architecture-Algorithm Co-Design Approach
协作研究:SHF:小型:实现高效的 3D 感知:架构-算法协同设计方法
- 批准号:
2334624 - 财政年份:2023
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Small: Technical Debt Management in Dynamic and Distributed Systems
合作研究:SHF:小型:动态和分布式系统中的技术债务管理
- 批准号:
2232720 - 财政年份:2023
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Small: Reimagining Communication Bottlenecks in GNN Acceleration through Collaborative Locality Enhancement and Compression Co-Design
协作研究:SHF:小型:通过协作局部性增强和压缩协同设计重新想象 GNN 加速中的通信瓶颈
- 批准号:
2326494 - 财政年份:2023
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Small: Sub-millisecond Topological Feature Extractor for High-Rate Machine Learning
合作研究:SHF:小型:用于高速机器学习的亚毫秒拓扑特征提取器
- 批准号:
2234921 - 财政年份:2023
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
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:
2326894 - 财政年份:2023
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Small: Sub-millisecond Topological Feature Extractor for High-Rate Machine Learning
合作研究:SHF:小型:用于高速机器学习的亚毫秒拓扑特征提取器
- 批准号:
2234920 - 财政年份:2023
- 资助金额:
$ 25万 - 项目类别:
Standard Grant














{{item.name}}会员




