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Record W2007622176 · doi:10.1109/mwsym.2010.5516248

Dual-band integrated self-biased edge-mode isolator based on the double ferromagnetic resonance of a bistable nanowire substrate

2010· article· en· W2007622176 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venue2010 IEEE MTT-S International Microwave Symposium · 2010
Typearticle
Languageen
FieldMaterials Science
TopicElectromagnetic wave absorption materials
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMaterials scienceIsolatorBistabilityPermittivityOptoelectronicsFerromagnetic resonanceResonance (particle physics)Condensed matter physicsMagnetic fieldMagnetizationDielectricPhysicsElectrical engineering

Abstract

fetched live from OpenAlex

A dual-band integrated self-biased edge-mode isolator based on the double ferromagnetic resonance of a CoFeB ferromagnetic nanowire (FMNW) substrate, controllable by the geometrical and composition parameters of the FMNWs, is presented. The dispersion diagram of the FMNW edge-mode isolator, taking into account the effective permittivity and permeability of the FMNW medium, predicts two frequency bands of operation. These bands are demonstrated experimentally using FMNWs of 40 nm diameter with a lattice constant of 110 nm. In the presented prototype, isolations of 17 dB at 27.3 GHz and 4.4 dB at 31.2 GHz are observed under zero external applied field. The isolation of the second frequency band is increased to 18.3 dB by applying a small DC magnetic field of 0.13 T. The integrability, self-biased, double resonance, millimeter-wave and dispersion engineering properties of the FMNW medium opens up new possibilities for a diversity of magnetic devices and systems.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.239
Teacher spread0.228 · 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