Ultrafast and Energy-efficient Anti-ferromagnetic Electric-field-controlled Memory Devices
Ultrafast and Energy-efficient Anti-ferromagnetic Electric-field-controlled Memory Devices
批准号:
1853879
负责人:
Pedram Khalili Amiri
金额:
$33.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-05-15 至 2023-04-30
中文摘要
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英文摘要
There is a fast-growing demand for new on-chip memory and data storage solutions in computing systems, fueled by the growth of data-intensive computing tasks for artificial intelligence and autonomous systems. Increasingly, the performance of computing systems is determined by the speed and energy efficiency of reading data from or writing it into the memory components of the system, rather than the speed with which logic operations can be performed. This trend is driving a paradigm shift of the semiconductor industry from logic-centric to memory-centric computing architectures, where storage and processing of data are closely integrated to increase computational efficiency. This memory-centric computing paradigm puts new requirements on the memory devices in terms of speed, switching energy, endurance, and manufacturing processes. However, present memory solutions do not scale adequately to address all of these demands and suffer from standby power dissipation due to leakage and/or refresh requirements. This project is focused on the development of a new type of two-terminal magnetic memory device, referred to as antiferromagnetic voltage-controlled memory, to address the requirements of memory-centric computing applications. In addition to its technical and scientific impact, the project will impact the education of students at undergraduate and graduate levels, including women and underrepresented minorities at Northwestern. The students will study, develop, and implement state-of-the-art nano-fabrication and high-speed measurements for emerging memory devices, working at the intersection of physics, material science, and electrical engineering. Due to the interdisciplinary nature of the project, they will also take part in collaborations with industry and other departments at Northwestern and other universities. The project also leverages and contributes to on-going outreach efforts at Northwestern, engaging the general public in the advancement of science.The proposed project incorporates two innovative elements in the device structure of magnetic random-access memory: (i) It uses metallic antiferromagnetic layers with uniaxial magnetic anisotropy for data storage. This is different from the conventionally used ferromagnetic free layers in existing magnetic memory, and provides a number of advantages: First, due to the zero overall magnetic moment of the antiferromagnet, the resulting device is robust against external magnetic fields, without any requirements for magnetic shielding. Second, it eliminates bit-to-bit dipole interactions, which may result in scaling challenges and increased error rates in ferromagnetic memory arrays with tight pitch. Third, much faster switching can be achieved using antiferromagnetic resonance, which can have frequencies up to the Terahertz range due to the large built-in exchange field of the antiferromagnetic material. (ii) Voltage-Controlled Magnetic Anisotropy will be used for energy-efficient writing of data. Specifically, a very short voltage pulse will be used to initiate the resonant dynamics and will be timed to result in a voltage-induced complete switching of the N?el vector. The switching occurs without the need for electric current, thus reducing write energy to reach the atto-Joule per bit range. The voltage-controlled magnetic anisotropy effect has previously only been demonstrated in the case of ferromagnetic devices. Hence, its demonstration and utilization in the case of antiferromagnets is one of the key intellectual merits of the present proposal.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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DOI:
10.1103/physrevb.101.014433
发表时间:
2019-04
期刊:
Physical Review B
影响因子:
3.7
作者:
[L. Sánchez-Tejerina;V. Puliafito;P. Amiri;M. Carpentieri;G. Finocchio]
通讯作者:
L. Sánchez-Tejerina;V. Puliafito;P. Amiri;M. Carpentieri;G. Finocchio
DOI:
10.1103/physrevapplied.17.034004
发表时间:
2022-02
期刊:
Physical Review Applied
影响因子:
4.6
作者:
[R. Tomasello;R. Verba;V. Lopez-Dominguez;F. Garescì;M. Carpentieri;M. Di Ventra;P. Khalili Amiri;G. Finocchio]
通讯作者:
R. Tomasello;R. Verba;V. Lopez-Dominguez;F. Garescì;M. Carpentieri;M. Di Ventra;P. Khalili Amiri;G. Finocchio
DOI:
10.1038/s41928-020-0367-2
发表时间:
2020-02-10
期刊:
NATURE ELECTRONICS
影响因子:
34.3
作者:
[Shi, Jiacheng, Lopez-Dominguez, Victor, Amiri, Pedram Khalili]
通讯作者:
Amiri, Pedram Khalili
DOI:
10.1103/physrevb.102.224432
发表时间:
2020-04
期刊:
Physical Review B
影响因子:
3.7
作者:
[R. Tomasello;L. Sánchez-Tejerina;V. Lopez-Dominguez;F. Garescì;A. Giordano;M. Carpentieri;P. Amiri;G. Finocchio]
通讯作者:
R. Tomasello;L. Sánchez-Tejerina;V. Lopez-Dominguez;F. Garescì;A. Giordano;M. Carpentieri;P. Amiri;G. Finocchio
DOI:
10.1063/5.0135185
发表时间:
2023-01
期刊:
Journal of Applied Physics
影响因子:
3.2
作者:
[V. Lopez-Dominguez;Yixin Shao;P. Khalili Amiri]
通讯作者:
V. Lopez-Dominguez;Yixin Shao;P. Khalili Amiri
FET: Small: CMOS+X: Integration of CMOS and voltage-controlled magnetic tunnel junctions for probabilistic computing
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批准号:2322572
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项目类别:Standard Grant
-
资助金额:$50.0万
-
财政年份:2023
-
负责人:Pedram Khalili Amiri
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依托单位:
Collaborative Research: SHF: Medium: Verifying Deep Neural Networks with Spintronic Probabilistic Computers
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批准号:2311296
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项目类别:Continuing Grant
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资助金额:$40.0万
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财政年份:2023
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负责人:Pedram Khalili Amiri
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依托单位:
Scalable Three Terminal Memory Devices based on Silicon-Compatible Antiferromagnetic Materials
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批准号:2203243
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项目类别:Standard Grant
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资助金额:$35.95万
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财政年份:2022
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负责人:Pedram Khalili Amiri
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依托单位:
Spintronic Spectrum Analyzer and Limiter based on Tunable Magnetic Tunnel Junction Arrays
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批准号:2203242
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项目类别:Standard Grant
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资助金额:$35.99万
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财政年份:2022
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负责人:Pedram Khalili Amiri
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依托单位:
PFI-RP: Partnership to develop next-generation memory chips for intelligent computing systems.
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批准号:1919109
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项目类别:Standard Grant
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资助金额:$55.0万
-
财政年份:2019
-
负责人:Pedram Khalili Amiri
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依托单位:
SBIR Phase I: Electric-Field-Controlled Nonvolatile Magnetic Memory Devices
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批准号:1314951
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项目类别:Standard Grant
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资助金额:$14.93万
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财政年份:2013
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负责人:Pedram Khalili Amiri
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依托单位:
国内基金
海外基金
度量测度空间上基于狄氏型和p-energy型的热核理论研究
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批准号:QN25A010015
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项目类别:省市级项目
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资助金额:--
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批准年份:2025
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负责人:高晋
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依托单位: