EAGER: Advancing High-Efficiency Nanoscale Antiferromagnetic Spintronics with Two-Dimensional Half Metals
EAGER:利用二维半金属推进高效纳米级反铁磁自旋电子学
基本信息
- 批准号:1753380
- 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:2017
- 资助国家:美国
- 起止时间:2017-09-01 至 2020-02-29
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Antiferromagnets hold promise in spintronics, due to the unique advantages over ferromagnets, such as high phase transition temperatures and null stray field. These characteristics make antiferromagnet appealing for high-density integrated devices, because each magnetic bit is robust against thermal and environmental magnetic field perturbation, and adjacent bits does not interfere mutually. However, zero-magnetization, an intrinsic attribute of antiferromagnet, usually is considered to be a primary factor limiting its applications. Despite of zero-magnetization, the Fermi surface electrons can be 100% spin-polarized, highly desirable for high-efficiency spintronic devices. Through rational material design of antiferromagnetic half metals, a novel type of spin field effect transistor can be realized. The work will fundamentally advance the nanoscale spintronics and the applications in information processing and storage. This project supports the study of a novel type of two-dimensional materials, antiferromagnetic half metals, and the development of spin field effect transistors. The study can fundamentally impact the state of the art spintronics and the related applications in information processing and storage. This work would also provide an excellent platform for education activities. Such an interdisciplinary research brings together researchers from material scientists, physicists, and electronic engineers. It requires concerted efforts to design and synthesize the promising antiferromagnetic materials, fabricate nanoscale transistors, and measure and optimize the device performance.
反铁磁体由于其独特的优势,如高的相变温度和零杂散场,在自旋电子学中有着广阔的应用前景。这些特性使得反铁磁体对于高密度集成器件具有吸引力,因为每个磁性位对于热和环境磁场扰动是鲁棒的,并且相邻位不会相互干扰。然而,反铁磁体的零磁化特性一直被认为是限制其应用的主要因素。尽管零磁化,费米表面电子可以是100%自旋极化的,这对于高效自旋电子器件是非常理想的。通过对反铁磁半金属材料的合理设计,可以实现新型自旋场效应晶体管。这项工作将从根本上推动纳米自旋电子学及其在信息处理和存储领域的应用。本计画将支援新型二维材料反铁磁半金属的研究,以及自旋场效电晶体的开发。这项研究将从根本上影响自旋电子学及其在信息处理和存储领域的应用。这项工作还将为教育活动提供一个极好的平台。这样一个跨学科的研究汇集了来自材料科学家,物理学家和电子工程师的研究人员。设计和合成有前途的反铁磁材料、制备纳米晶体管、测量和优化器件性能等都需要协同努力。
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Enhanced ferroelectricity in ultrathin films grown directly on silicon
- DOI:10.1038/s41586-020-2208-x
- 发表时间:2020-04-01
- 期刊:
- 影响因子:64.8
- 作者:Cheema, Suraj S.;Kwon, Daewoong;Salahuddin, Sayeef
- 通讯作者:Salahuddin, Sayeef
Multiferroicity in atomic van der Waals heterostructures
- DOI:10.1038/s41467-019-10693-0
- 发表时间:2019-06-14
- 期刊:
- 影响因子:16.6
- 作者:Gong, Cheng;Kim, Eun Mi;Zhang, Xiang
- 通讯作者:Zhang, Xiang
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Xiang Zhang其他文献
Optical Silver Superlens Imaging Below the Diffraction Limit
低于衍射极限的光学银超级透镜成像
- DOI:
10.1557/proc-0919-j04-01 - 发表时间:
2006 - 期刊:
- 影响因子:0
- 作者:
H. J. Lee;Y. Xiong;N. Fang;W. Srituravanich;S. Durant;M. Ambati;Cheng Sun;Xiang Zhang - 通讯作者:
Xiang Zhang
Electronic Effect of Fluoro Substituents on Chromium(III) Complexes bearing beta;-Diketiminate Ligands for Ethylene Polymerization
氟取代基对铬(III)配合物轴承的电子效应
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
Xiang Zhang;Xiaohang Xu;Tingcheng Li;Aiqing Zhang - 通讯作者:
Aiqing Zhang
Comporation of The Biosynthetic Pathway of 10-Hydroxy-2-Decenoic Acid between Microorganisms and Apis mellifera
微生物与意大利蜜蜂10-羟基-2-癸烯酸生物合成途径的比较
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0.8
- 作者:
Tengfei Wang;Xiang Zhang;Piwu Li - 通讯作者:
Piwu Li
Expeditious and scalable preparation of a Li−Thiele reagent for amine-based bioconjugation
快速且可扩展地制备用于胺基生物共轭的 LiâThiele 试剂
- DOI:
10.1016/j.cclet.2020.06.019 - 发表时间:
2020-06 - 期刊:
- 影响因子:9.1
- 作者:
Jiacheng Li;Yuyong Ma;Xiang Zhang;Xin Cao;Hegui Gong;Ang Li - 通讯作者:
Ang Li
Targeted shRNA-loaded liposome complex combined with ultrasound for blood brain barrier disruption and suppressing glioma growth。
装载靶向 shRNA 的脂质体复合物与超声波相结合,可破坏血脑屏障并抑制神经胶质瘤生长。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Guanjian Zhao;Qin Huang;Feng Wang;Xiang Zhang;Jiangang Hu;Ying Tan;Ning Huang;Zhibiao Wang;Zhigang Wang;Yuan Cheng - 通讯作者:
Yuan Cheng
Xiang Zhang的其他文献
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{{ truncateString('Xiang Zhang', 18)}}的其他基金
CAREER: Multiscale Reduced Order Modeling and Design to Elucidate the Microstructure-Property-Performance Relationship of Hybrid Composite Materials
职业:通过多尺度降阶建模和设计来阐明混合复合材料的微观结构-性能-性能关系
- 批准号:
2341000 - 财政年份:2024
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
CRII:SCH:Self-Supervised Contrastive Representation Learning for Medical Time Series
CRII:SCH:医学时间序列的自监督对比表示学习
- 批准号:
2245894 - 财政年份:2023
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
Collaborative Research: An Integrated Multiscale Reduced-Order Modeling and Experimental Framework for Lithium-ion Batteries under Mechanical Abuse Conditions
协作研究:机械滥用条件下锂离子电池的集成多尺度降阶建模和实验框架
- 批准号:
2114822 - 财政年份:2021
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
MRI: Acquisition of a Low-Vibration, Cryogen-Free Cryostat Microscope System
MRI:获取低振动、无冷冻剂的低温恒温器显微镜系统
- 批准号:
1725335 - 财政年份:2017
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
CAREER: Novel Approaches for Mining Large and Complex Networks
职业:挖掘大型复杂网络的新方法
- 批准号:
1707548 - 财政年份:2016
- 资助金额:
$ 10万 - 项目类别:
Continuing Grant
CAREER: Novel Approaches for Mining Large and Complex Networks
职业:挖掘大型复杂网络的新方法
- 批准号:
1552915 - 财政年份:2016
- 资助金额:
$ 10万 - 项目类别:
Continuing Grant
III: Medium: Collaborative Research: Toward Robust and Scalable Discovering of Significant Associations in Massive Genetic Data
III:媒介:合作研究:在海量遗传数据中稳健且可扩展地发现显着关联
- 批准号:
1664629 - 财政年份:2016
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
INSPIRE Track 1: Exploring New Route of Optically Mediated Self-Assembly: Final Material Properties Determine Its Structures
INSPIRE 轨道 1:探索光介导自组装的新途径:最终材料特性决定其结构
- 批准号:
1344290 - 财政年份:2013
- 资助金额:
$ 10万 - 项目类别:
Continuing Grant
Materials World Network: Classical and Quantum Optical Metamaterials by Combining Top-down and Bottom-up Fabrication Techniques
材料世界网络:结合自上而下和自下而上制造技术的经典和量子光学超材料
- 批准号:
1210170 - 财政年份:2012
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
III: Medium: Collaborative Research: Toward Robust and Scalable Discovering of Significant Associations in Massive Genetic Data
III:媒介:合作研究:在海量遗传数据中稳健且可扩展地发现显着关联
- 批准号:
1162374 - 财政年份:2012
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
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