Evidence map›Paper›PMID 38926523›Full record

ArticleScientific reports2024

Reconfigurable spintronic logic gate utilizing precessional magnetization switching.

Ting Liu, Xiaoguang Li, Hongyu An, Shi Chen, Yuelei Zhao, Sheng Yang, Xiaohong Xu, Cangtao Zhou, Hua Zhang, Yan Zhou

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ting LiuCollege of Engineering Physics, and Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Shenzhen Technology University, Shenzhen, 518118, China.
Xiaoguang LiCollege of Engineering Physics, and Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Shenzhen Technology University, Shenzhen, 518118, China. lixiaoguang@sztu.edu.cn.
Hongyu AnCollege of New Materials and New Energies, Shenzhen Technology University, Shenzhen, 518118, China.
Shi ChenCollege of Engineering Physics, and Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Shenzhen Technology University, Shenzhen, 518118, China.
Yuelei ZhaoSchool of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China.
Sheng YangSchool of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China.
Xiaohong XuResearch Institute of Materials Science of Shanxi Normal University & Collaborative Innovation Center for Shanxi Advanced Permanent Magnetic Materials and Technology, Linfen, 041004, China.
Cangtao ZhouCollege of Engineering Physics, and Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Shenzhen Technology University, Shenzhen, 518118, China.
Hua ZhangCollege of Engineering Physics, and Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Shenzhen Technology University, Shenzhen, 518118, China. zhanghua@sztu.edu.cn.
Yan ZhouSchool of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China. zhouyan@cuhk.edu.cn.

Funding

Guangdong Basic and Applied Basic Research Foundation 2021B1515120047,2021A1515012055National Key R&D Program of China 2022YFA1603200, 2022YFA1603202National Natural Science Foundation of China 12104322,12375237,52001215,12374123,11974298Shenzhen Peacock Group Plan KQTD20180413181702403Shenzhen Science and Technology Program ZDSYS20200811143600001The Shenzhen Fundamental Research Fund JCYJ20210324120213037
6 · The paper itself

Abstract

In traditional von Neumann computing architecture, the efficiency of the system is often hindered by the data transmission bottleneck between the processor and memory. A prevalent approach to mitigate this limitation is the use of non-volatile memory for in-memory computing, with spin-orbit torque (SOT) magnetic random-access memory (MRAM) being a leading area of research. In this study, we numerically demonstrate that a precise combination of damping-like and field-like spin-orbit torques can facilitate precessional magnetization switching. This mechanism enables the binary memristivity of magnetic tunnel junctions (MTJs) through the modulation of the amplitude and width of input current pulses. Building on this foundation, we have developed a scheme for a reconfigurable spintronic logic gate capable of directly implementing Boolean functions such as AND, OR, and XOR. This work is anticipated to leverage the sub-nanosecond dynamics of SOT-MRAM cells, potentially catalyzing further experimental developments in spintronic devices for in-memory computing.

Identifiers

PMID38926523
PMCPMC11208557

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