NER: Characterizing and Modeling Magnetic Tunnel Junction Devices for a Spintronics-based Processor
NER:基于自旋电子学的处理器的磁隧道结器件的表征和建模
基本信息
- 批准号:0609023
- 负责人:
- 金额:$ 10万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-06-01 至 2008-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The objective of this research is to demonstrate the feasibility of using spintronics-based magnetic tunnel junction devices to implement complex digital systems. The approach is to design and fabricate a single-bit full adder at the NSF-supported University of Minnesota Nanofabrication Center using the prototype magnetic tunnel junction devices previously demonstrated by the investigators. Concurrently with this fabrication process, a multi-operation bit-serial function unit that will take advantage of the programmability of the magnetic gates will be designed and simulated. The ultimate goal beyond this initial feasibility study is to design a fully functional processor entirely from these novel non-charge-based spintronics devices.The primary intellectual merit of this project is the development of new techniques and circuits that will lead to an understanding of how to construct complex computational elements from the magnetic tunnel junction gates. The innovative exploitation of this emerging technology will significantly expand the understanding of spintronics devices to eventually incorporate the potential advantages of this technology into future systems. Due to the highly exploratory nature of this work, it is unlikely that it would be pursued by industry. Yet it holds tremendous promise to help drive future computing trends, making it very appropriate for government support.Broader impacts of this project include multidisciplinary training of a new generation of researchers that emphasizes both device fabrication and computing, and opportunities for underrepresented groups to participate in an exciting new research area. Existing collaborations will help to quickly transfer to industry the novel technology developed in this project.
本研究的目的是证明使用基于自旋电子学的磁性隧道结器件实现复杂数字系统的可行性。该方法是在NSF支持的明尼苏达大学纳米制造中心使用研究人员先前展示的原型磁性隧道结器件设计和制造一位全加器。与此同时,制造过程中,一个多操作位串行功能单元,将利用磁门的可编程性将被设计和模拟。这个初步可行性研究的最终目标是设计一个功能齐全的处理器完全从这些新的非电荷为基础的自旋电子器件。该项目的主要智力价值是新技术和电路的发展,这将导致理解如何构建复杂的计算元件从磁性隧道结门。对这一新兴技术的创新利用将大大扩展对自旋电子器件的理解,最终将该技术的潜在优势纳入未来的系统。由于这项工作具有高度探索性,工业界不太可能进行这项工作。然而,它有巨大的希望,以帮助推动未来的计算趋势,使它非常适合政府的支持。更广泛的影响,这一项目包括多学科培训的新一代研究人员,强调设备制造和计算,并为代表性不足的群体参与一个令人兴奋的新的研究领域的机会。现有的合作将有助于将该项目中开发的新技术快速转移到工业领域。
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 }}
David Lilja其他文献
End‐of‐life decision‐making in critically ill old patients with and without coronavirus disease 2019
2019年患有和不患有冠状病毒病的危重老年患者的临终决策
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:2.1
- 作者:
Alma Nordenskjöld Syrous;Gudny Gudnadottir;J. Oras;Thalia Ferguson;David Lilja;H. Odenstedt Hergès;Emma Larsson;L. Block - 通讯作者:
L. Block
David Lilja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('David Lilja', 18)}}的其他基金
XPS: Full: CCA: Enhancing Scalability and Energy Efficiency in Extreme-Scale Parallel Systems through Application-Aware Communication Reduction
XPS:完整:CCA:通过减少应用程序感知通信来增强超大规模并行系统的可扩展性和能源效率
- 批准号:
1438286 - 财政年份:2014
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
CRI: CRD Collaborative Research: Archer - Seeding a Community-based Computing Infrastructure for Computer Architecture Research and Education
CRI:CRD 协作研究:Archer - 为计算机体系结构研究和教育提供基于社区的计算基础设施
- 批准号:
0750868 - 财政年份:2008
- 资助金额:
$ 10万 - 项目类别:
Continuing Grant
NER: Designing Reliable Computers Using Molecular Nanotechnology
NER:利用分子纳米技术设计可靠的计算机
- 批准号:
0210197 - 财政年份:2002
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
CISE Experimental Partnerships: Prototyping the Superthreaded Architecture
CISE 实验合作伙伴:超线程架构原型设计
- 批准号:
9971666 - 财政年份:1999
- 资助金额:
$ 10万 - 项目类别:
Continuing Grant
Flexible Architectural Cores for Commerical Computing Systems: A University-Industry GOALI Collaboration
用于商业计算系统的灵活架构核心:大学与行业 GOALI 合作
- 批准号:
9900605 - 财政年份:1999
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
CISE Postdoctoral Research Associateship in Experimental Computer Science: Processor Allocation in Hierarchical Heterogeneous Networks of Workstations
CISE 实验计算机科学博士后研究助理:工作站分层异构网络中的处理器分配
- 批准号:
9625875 - 财政年份:1996
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
New Mechanisms for Parallel Loop Scheduling
并行循环调度的新机制
- 批准号:
9221900 - 财政年份:1993
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
Multiprocessor Memory Design for High-Performance Computing
高性能计算的多处理器内存设计
- 批准号:
9209458 - 财政年份:1992
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
相似海外基金
Characterizing and modeling the genomewide molecular basis of gene-environment interactions
基因-环境相互作用的全基因组分子基础的表征和建模
- 批准号:
10712927 - 财政年份:2023
- 资助金额:
$ 10万 - 项目类别:
RAPID: Characterizing and Understanding Smoke Transport in 2023 Hawaii Wildfire Event Using Geostationary Satellite Observations and Numerical Modeling
RAPID:利用对地静止卫星观测和数值模拟描述和理解 2023 年夏威夷野火事件中的烟雾输送
- 批准号:
2345272 - 财政年份:2023
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
Characterizing Genetic, Neurotransmitter receptors and Macroscopic Brain Interactions via Multi-scale Analytical Modeling
通过多尺度分析模型表征遗传、神经递质受体和宏观大脑相互作用
- 批准号:
RGPIN-2021-02670 - 财政年份:2022
- 资助金额:
$ 10万 - 项目类别:
Discovery Grants Program - Individual
Characterizing Genetic, Neurotransmitter receptors and Macroscopic Brain Interactions via Multi-scale Analytical Modeling
通过多尺度分析模型表征遗传、神经递质受体和宏观大脑相互作用
- 批准号:
RGPIN-2021-02670 - 财政年份:2021
- 资助金额:
$ 10万 - 项目类别:
Discovery Grants Program - Individual
Modeling Climate Mitigation & Characterizing Earth System Process Control Variable Interconnections
气候减缓建模
- 批准号:
563339-2021 - 财政年份:2021
- 资助金额:
$ 10万 - 项目类别:
University Undergraduate Student Research Awards
Characterizing Genetic, Neurotransmitter receptors and Macroscopic Brain Interactions via Multi-scale Analytical Modeling
通过多尺度分析模型表征遗传、神经递质受体和宏观大脑相互作用
- 批准号:
DGECR-2021-00113 - 财政年份:2021
- 资助金额:
$ 10万 - 项目类别:
Discovery Launch Supplement
Collaborative Research: Characterizing High-latitude Ionospheric Fluid Turbulence and Radio Scintillation with New Observations and Data-Driven Modeling
合作研究:通过新的观测和数据驱动的建模来表征高纬度电离层流体湍流和射电闪烁
- 批准号:
2027300 - 财政年份:2020
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
Collaborative Research: Characterizing High-latitude Ionospheric Fluid Turbulence and Radio Scintillation with New Observations and Data-Driven Modeling
合作研究:通过新的观测和数据驱动的建模来表征高纬度电离层流体湍流和射电闪烁
- 批准号:
2027308 - 财政年份:2020
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
Characterizing and modeling on microstructural evolution during intercritical annealing of high performance medium Mn steel
高性能中锰钢相间退火过程中微观结构演变的表征和建模
- 批准号:
410335988 - 财政年份:2019
- 资助金额:
$ 10万 - 项目类别:
Research Grants
Full waveform modeling and inversion of seismic attenuation and application to characterizing near-surface fractures at Susquehanna Shale Hills Critical Zone Observatory
地震衰减的全波形建模和反演以及用于表征萨斯奎哈纳页岩山关键区域观测站近地表裂缝的应用
- 批准号:
1919650 - 财政年份:2019
- 资助金额:
$ 10万 - 项目类别:
Standard Grant