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Record W2138356512 · doi:10.1109/aps.2011.5996606

Graphene-based non-reciprocal spatial isolator

2011· article· en· W2138356512 on OpenAlexaff
Dimitrios L. Sounas, Christophe Caloz

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsIsolatorGrapheneFaraday effectAttenuator (electronics)Ferrite (magnet)Materials scienceOptical isolatorReciprocalVoltageOpticsOptoelectronicsElectronic engineeringElectrical engineeringPhysicsMagnetic fieldAttenuationNanotechnologyEngineeringOptical fiber

Abstract

fetched live from OpenAlex

A novel spatial non-reciprocal isolator based on magnetically biased graphene is introduced and analyzed. A brief review of the gyrotropic properties of graphene is provided. The proposed structure is analyzed in terms of an equivalent dyadic transmission line model. A fundamental difference between the proposed structure and the ferrite-based spatial isolators is that the former operates under a small Faraday rotation angle, preventing the need for multiple graphene sheets, whereas the later requires a 45° rotation angle, involving a relatively large and therefore lossy length of ferrite. Moreover, thanks to the strong dependence of isolation on the chemical potential, which may be tuned by a gate voltage, the proposed device may be used as a variable space attenuator.

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 science0.0010.000
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 head0.018
GPT teacher head0.176
Teacher spread0.158 · 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

Citations24
Published2011
Admission routes1
Has abstractyes

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