Evidence map›Paper›PMID 38862537›Full record

ArticleNature communications2024

An antiferromagnetic spin phase change memory.

Han Yan, Hongye Mao, Peixin Qin, Jinhua Wang, Haidong Liang, Xiaorong Zhou, Xiaoning Wang, Hongyu Chen, Ziang Meng, Li Liu and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Corrections and comments

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

20 authors.

Han Yan *School of Materials Science and Engineering, Beihang University, Beijing, 100191, China.
Hongye Mao *School of Materials Science and Engineering, Beihang University, Beijing, 100191, China.
Peixin QinSchool of Materials Science and Engineering, Beihang University, Beijing, 100191, China. qinpeixin@buaa.edu.cn.ORCID http://orcid.org/0009-0009-8889-3205
Jinhua WangWuhan National High Magnetic Field Center, Huazhong University of Science and Technology, Wuhan, 430074, China.
Haidong LiangCentre for Ion Beam Applications (CIBA), Department of Physics, National University of Singapore, Singapore, 117542, Singapore.ORCID http://orcid.org/0000-0002-5437-066X
Xiaorong ZhouSchool of Materials Science and Engineering, Beihang University, Beijing, 100191, China.
Xiaoning WangSchool of Materials Science and Engineering, Beihang University, Beijing, 100191, China.
Hongyu ChenSchool of Materials Science and Engineering, Beihang University, Beijing, 100191, China.
Ziang MengSchool of Materials Science and Engineering, Beihang University, Beijing, 100191, China.
Li LiuSchool of Materials Science and Engineering, Beihang University, Beijing, 100191, China.
Guojian ZhaoSchool of Materials Science and Engineering, Beihang University, Beijing, 100191, China.
Zhiyuan DuanSchool of Materials Science and Engineering, Beihang University, Beijing, 100191, China.
Zengwei ZhuWuhan National High Magnetic Field Center, Huazhong University of Science and Technology, Wuhan, 430074, China.ORCID http://orcid.org/0000-0001-8282-1432
Bin FangKey Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China.
Zhongming ZengKey Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China.ORCID http://orcid.org/0000-0001-7240-2058
Andrew A BettiolCentre for Ion Beam Applications (CIBA), Department of Physics, National University of Singapore, Singapore, 117542, Singapore.ORCID http://orcid.org/0000-0001-5242-3644
Qinghua ZhangBeijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China. zqh@iphy.ac.cn.ORCID http://orcid.org/0000-0001-9086-7000
Peizhe TangSchool of Materials Science and Engineering, Beihang University, Beijing, 100191, China. peizhet@buaa.edu.cn.ORCID http://orcid.org/0000-0002-6345-5809
Chengbao JiangSchool of Materials Science and Engineering, Beihang University, Beijing, 100191, China. jiangcb@buaa.edu.cn.ORCID http://orcid.org/0000-0003-3914-1567
Zhiqi LiuSchool of Materials Science and Engineering, Beihang University, Beijing, 100191, China. zhiqi@buaa.edu.cn.ORCID http://orcid.org/0000-0001-7538-4879

Funding

National Natural Science Foundation of China (National Science Foundation of China) 12234011National Natural Science Foundation of China (National Science Foundation of China) 12374053National Natural Science Foundation of China (National Science Foundation of China) 52121001National Natural Science Foundation of China (National Science Foundation of China) 52271235
6 · The paper itself

Abstract

The electrical outputs of single-layer antiferromagnetic memory devices relying on the anisotropic magnetoresistance effect are typically rather small at room temperature. Here we report a new type of antiferromagnetic memory based on the spin phase change in a Mn-Ir binary intermetallic thin film at a composition within the phase boundary between its collinear and noncollinear phases. Via a small piezoelectric strain, the spin structure of this composition-boundary metal is reversibly interconverted, leading to a large nonvolatile room-temperature resistance modulation that is two orders of magnitude greater than the anisotropic magnetoresistance effect for a metal, mimicking the well-established phase change memory from a quantum spin degree of freedom. In addition, this antiferromagnetic spin phase change memory exhibits remarkable time and temperature stabilities, and is robust in a magnetic field high up to 60 T.

Identifiers

PMID38862537
PMCPMC11166633

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.