Evidence map›Paper›PMID 36918562›Full record

ArticleNature communications2023

Hybrid spin Hall nano-oscillators based on ferromagnetic metal/ferrimagnetic insulator heterostructures.

Haowen Ren, Xin Yu Zheng, Sanyum Channa, Guanzhong Wu, Daisy A O'Mahoney, Yuri Suzuki, Andrew D Kent

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Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. High data rate spin-wave transmitter.Scientific reports · 2024
    Article
  4. Article
  5. Article
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

7 authors.

Haowen RenCenter for Quantum Phenomena, Department of Physics, New York University, New York, NY, 10003, USA. haowren@gmail.com.ORCID http://orcid.org/0000-0001-9343-5369
Xin Yu ZhengDepartment of Applied Physics and Geballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, 94305, USA.ORCID http://orcid.org/0000-0001-7980-4922
Sanyum ChannaDepartment of Physics and Geballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, 94305, USA.
Guanzhong WuCenter for Quantum Phenomena, Department of Physics, New York University, New York, NY, 10003, USA.
Daisy A O'MahoneyDepartment of Materials Science and Engineering and Geballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, 94305, USA.
Yuri SuzukiDepartment of Applied Physics and Geballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, 94305, USA.ORCID http://orcid.org/0000-0002-6883-4293
Andrew D KentCenter for Quantum Phenomena, Department of Physics, New York University, New York, NY, 10003, USA. andy.kent@nyu.edu.ORCID http://orcid.org/0000-0002-9050-8822

Funding

DOE | Advanced Research Projects Agency - Energy (Advanced Research Projects Agency - Energy - U.S. Department of Energy) DE-SC0019273National Science Foundation (NSF) DMR-2037652United States Department of Defense | U.S. Air Force (United States Air Force) FA 9550-20-1-0293
6 · The paper itself

Abstract

Spin-Hall nano-oscillators (SHNOs) are promising spintronic devices to realize current controlled GHz frequency signals in nanoscale devices for neuromorphic computing and creating Ising systems. However, traditional SHNOs devices based on transition metals have high auto-oscillation threshold currents as well as low quality factors and output powers. Here we demonstrate a new type of hybrid SHNO based on a permalloy (Py) ferromagnetic-metal nanowire and low-damping ferrimagnetic insulator, in the form of epitaxial lithium aluminum ferrite (LAFO) thin films. The superior characteristics of such SHNOs are associated with the excitation of larger spin-precession angles and volumes. We further find that the presence of the ferrimagnetic insulator enhances the auto-oscillation amplitude of spin-wave edge modes, consistent with our micromagnetic modeling. This hybrid SHNO expands spintronic applications, including providing new means of coupling multiple SHNOs for neuromorphic computing and advancing magnonics.

Identifiers

PMID36918562
PMCPMC10015054

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None linked

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.