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Record W4310875516 · doi:10.1063/5.0124702

Spin Hall nano-oscillators based on synthetic skyrmions imprinted in Co nanodisc

2022· article· en· W4310875516 on OpenAlexafffund
B. C. Choi, Mukesh Aryal, Ben Rasmussen, Minyeong Choi, Yang‐Ki Hong

Bibliographic record

VenueAIP Advances · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSkyrmionSpintronicsNanomagnetCondensed matter physicsSpin (aerodynamics)Spin Hall effectFerromagnetismPhysicsMagnetizationAnisotropySpin waveSpin polarizationQuantum mechanicsMagnetic field

Abstract

fetched live from OpenAlex

Spin Hall nano-oscillators utilizing the synthetic spin textures imprinted in nanomagnets are demonstrated by numerical investigations. The imprinting is achieved by locally manipulating the magnetic anisotropy and the interfacial Dzyaloshinskii–Moriya interaction (DMI). The resulting spin texture is equivalent to a Néel-type skyrmion and is topologically stable to thermal fluctuations at finite temperatures. The eigenoscillation of the synthetic skyrmion can be activated by the spin-orbit torques induced by the spin Hall effect, and an eigenfrequency of up to ∼1.5 GHz is achieved. The eigenmode of the skyrmion resonance is found to be associated with the counter-clockwise rotational motion of the local magnetization. Our result demonstrates the working principle of using synthetic nanomagnets in spintronics applications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.247
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2022
Admission routes2
Has abstractyes

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Same venueAIP AdvancesSame topicMagnetic properties of thin filmsFrench-language works237,207