Evidence map›Paper›PMID 42517510›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Efficient Current-Driven Perpendicular Magnetization Switching Through the Synergy of the Orbital and Spin Hall Effects.

Chuangwen Wu, Jing Zhou, Yibo Fan, Jiali Chen, Rongce Sun, Zonghao Deng, Zengxin Wei, Chuantong Ren, Xingen Zheng, Zhaowei Zhang and 7 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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

17 authors.

Chuangwen WuDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, Guangdong, China.
Jing ZhouDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, Guangdong, China.
Yibo FanDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, Guangdong, China.ORCID https://orcid.org/0000-0003-0848-5922
Jiali ChenKey Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, China.
Rongce SunDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, Guangdong, China.
Zonghao DengDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, Guangdong, China.
Zengxin WeiDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, Guangdong, China.
Chuantong RenDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, Guangdong, China.
Xingen ZhengDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, Guangdong, China.
Zhaowei ZhangSchool of Physical Sciences, and Department of Physics, School of Sciences, Great Bay University, Dongguan, China.
Jing ZhangDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, Guangdong, China.
Jingfeng LiDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, Guangdong, China.
Jinkui ZhaoSchool of Physical Sciences, and Department of Physics, School of Sciences, Great Bay University, Dongguan, China.
Wei JiangKey Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, China.ORCID https://orcid.org/0000-0001-6167-1156
Haibo KeDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, Guangdong, China.
Hao WuDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, Guangdong, China.ORCID https://orcid.org/0000-0001-8608-3035
Weihua WangDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, Guangdong, China.

Funding

Guangdong Basic and Applied Basic Research Foundation 2024A1515110196Guangdong Basic and Applied Basic Research Foundation 2024A1515140117Guangdong Provincial Quantum Science Strategic Initiative GDZX2301001Guangdong Provincial Quantum Science Strategic Initiative GDZX2301002Guangdong Provincial Quantum Science Strategic Initiative GDZX2302003Guangdong Provincial Quantum Science Strategic Initiative GDZX2402001National Key Research and Development Program of China 2022YFA1402801National Natural Science Foundation of China 12304149National Natural Science Foundation of China 52271239National Natural Science Foundation of China 52311530674
6 · The paper itself

Abstract

Manipulating perpendicular magnetization via electrical current is a promising approach for developing low-power and ultrafast spintronic applications. However, the increasing difficulty with improving the efficiency associated with conventional spin-orbit torque mechanisms hinders the development of low-power spintronic device integration. In this study, we demonstrate highly efficient charge-to-spin conversion in NiNb alloys by integrating strong spin Hall effect form nickel (Ni) with strong orbital Hall (OHE) effect from niobium (Nb). By systematically tuning the alloy composition, the relative strengths of the orbital Hall effect and spin-orbit coupling (SOC) can be modulated, enabling controllable and enhanced efficiency of charge-to-spin conversion. The spin torque efficiency in NiNb alloys reaches as high as -1.4 to -1.7, with the maximum value observed at the equiatomic composition Ni

Indexed as

charge‐to‐spin conversionorbital hall effectperpendicular magnetization switchingspin–orbit torque

Identifiers

PMID42517510
PMCPMC13410799

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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.