Evidence map›Paper›PMID 35721373›Full record

ArticleMicrosystems & nanoengineering2022

Magnetic force microscopy of an operational spin nano-oscillator.

Seyed Amir Hossein Banuazizi, Afshin Houshang, Ahmad A Awad, Javad Mohammadi, Johan Åkerman, Liubov M Belova

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Seyed Amir Hossein BanuaziziFaculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.ORCID 0000-0003-4253-357X
Afshin HoushangDepartment of Physics, University of Gothenburg, 412 96 Gothenburg, Sweden.
Ahmad A AwadDepartment of Physics, University of Gothenburg, 412 96 Gothenburg, Sweden.ORCID 0000-0002-5908-3619
Javad MohammadiFaculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.
Johan ÅkermanMaterials and Nanophysics, Department of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, 114 19 Stockholm, Sweden.
Liubov M BelovaDepartment of Materials Science and Engineering, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic force microscopy (MFM) is a powerful technique for studying magnetic microstructures and nanostructures that relies on force detection by a cantilever with a magnetic tip. The detected magnetic tip interactions are used to reconstruct the magnetic structure of the sample surface. Here, we demonstrate a new method using MFM for probing the spatial profile of an operational nanoscale spintronic device, the spin Hall nano-oscillator (SHNO), which generates high-intensity spin wave auto-oscillations enabling novel microwave applications in magnonics and neuromorphic computing. We developed an MFM system by adding a microwave probe station to allow electrical and microwave characterization up to 40 GHz during the MFM process. SHNOs-based on NiFe/Pt bilayers with a specific design compatible with the developed system-were fabricated and scanned using a Co magnetic force microscopy tip with 10 nm spatial MFM resolution, while a DC current sufficient to induce auto-oscillation flowed. Our results show that this developed method provides a promising path for the characterization and nanoscale magnetic field imaging of operational nano-oscillators.

Indexed as

Electrical and electronic engineeringElectronic devicesElectronic properties and materialsStructural properties

Identifiers

PMID35721373
PMCPMC9200774

What OpenQuestion holds

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Registered trials

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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.