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Single-spin spectroscopy of spontaneous and phase-locked spin-torque-oscillator dynamics

2023· article· en· W4389082749 on OpenAlexafffund
Adrian Solyom, Michael Caouette-Mansour, Brandon Ruffolo, P. M. Braganca, Lilian Childress, Jack C. Sankey

Bibliographic record

VenuePhysical Review Applied · 2023
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsMcGill University
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCanada Foundation for Innovation
KeywordsSpin (aerodynamics)Condensed matter physicsNanoscopic scalePhysicsPhase (matter)DiamondRelaxation oscillatorDynamics (music)Materials scienceQuantum mechanicsAcoustics

Abstract

fetched live from OpenAlex

Nanoscale magnetic circuits provide an alternate paradigm for computation and signal processing, but characterizing the GHz-frequency magnetic dynamics in these systems has been challenging. The authors use the single spin of a nitrogen-vacancy (N-$V$) center in diamond to probe nanoscale magnetic fields in the GHz regime, identifying signatures of a free-running and phase-locked spin-torque oscillator in the fluorescence spectrum of a proximal N-$V$, and measure how the dynamics impact the N-$V$'s spin relaxation. This technique could enable new sensing modalities for revealing the nanoscale structure of GHz-frequency dynamics in emerging magnetic nanotechnologies.

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 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 score0.005
Threshold uncertainty score0.791

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.020
GPT teacher head0.335
Teacher spread0.315 · 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.

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

Citations4
Published2023
Admission routes2
Has abstractyes

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