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Record W4280555184 · doi:10.1063/5.0088199

Spin–orbit torque driven nano-oscillators based on synthetic Néel-like skyrmion in magnetic tunnel junction

2022· article· en· W4280555184 on OpenAlexafffund
B. C. Choi, Mukesh Aryal, 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 physicsPhysicsSpin (aerodynamics)FerromagnetismMagnetizationQuantum mechanicsMagnetic field

Abstract

fetched live from OpenAlex

A synthetic skyrmion-based magnetic tunnel junction spintronic nano-oscillator is proposed. The oscillator consists of a Pt/Co/AlOx/Co heterostructure. It exploits the high-frequency eigenoscillations of a synthetic chiral nanomagnet, which is imprinted in the Pt/Co layer by the local manipulation of the magnetic anisotropy and interfacial Dzyaloshinskii–Moriya interaction. This synthetic nanomagnet has the spin texture equivalent to the Néel skyrmion, and its topological stabilization remains resilient with respect to the thermal fluctuations at finite temperatures. The oscillator is activated by spin Hall effect-induced spin–orbit torques, and an eigenoscillation with a frequency of ∼2.5 GHz is achieved. When the drive current exceeds a threshold value, the eigenfrequency shifts toward lower frequencies. This redshift is associated with the transition of skyrmion dynamics, in which its eigenmode evolves from the counter-clockwise rotation mode to a complex hybrid mode. Our result verifies the working performance of the proposed synthetic skyrmion-based oscillator and suggests promising prospects for using such artificial nanomagnets in future spintronic applications. It is also found that the synthetic skyrmions are topologically protected from annihilation under high drive currents and finite temperatures, and this resilience, thus, offers new opportunities to better design next generation skyrmion-based spintronic devices.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.837
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

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)0.0040.000

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 head0.006
GPT teacher head0.214
Teacher spread0.208 · 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 teacher head, not a consensus.

Study designNot applicable
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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