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Record W2001148758 · doi:10.1063/1.2173221

Dynamics studies in magnetic bilayer Fe∕Au∕Fe(001) structures using network analyzer measurements

2006· article· en· W2001148758 on OpenAlexaff
O. Mosendz, B. Kardasz, B. Heinrich

Bibliographic record

VenueJournal of Applied Physics · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsFerromagnetic resonanceLaser linewidthMaterials scienceMicrowaveCondensed matter physicsMolecular beam epitaxyAnisotropyMagnetic anisotropyFerromagnetismBilayerNetwork analyzer (electrical)Spectrum analyzerNuclear magnetic resonanceOptoelectronicsEpitaxyMagnetic fieldOpticsChemistryNanotechnologyMagnetizationPhysicsElectronic engineering

Abstract

fetched live from OpenAlex

Fe ∕ Au ∕ Fe ( 001 ) ultrathin film structures were grown by molecular beam epitaxy on 4×6 reconstructed GaAs(001) substrates. A microwave network analyzer was used to carry out ferromagnetic resonance (FMR) measurements down to microwave frequency of 1GHz. The FMR results indicate that the crystalline ultrathin Fe films are of high crystalline quality. The FMR linewidth is mostly given by the intrinsic Gilbert damping and is only weakly affected by small local variations of the internal anisotropy fields. The study at low microwave frequency allowed one to investigate the spin-pumping mechanism in the configuration of noncollinear magnetic moments.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score1.000

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 head0.039
GPT teacher head0.269
Teacher spread0.230 · 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 designSimulation or modeling
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

Citations3
Published2006
Admission routes1
Has abstractyes

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