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Record W2299099601 · doi:10.1117/12.2211783

Design of integrated YIG-based isolators and high-speed modulators

2016· article· en· W2299099601 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

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2016
Typearticle
Languageen
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsYttrium iron garnetMaterials scienceOptical isolatorOptoelectronicsInsertion lossModulation (music)WaveguideYttriumOpticsPhysicsOptical fiber

Abstract

fetched live from OpenAlex

In this work, we present the design of integrable magnetoplasmonic isolators and modulators, based on a longrange magnetoplasmonic waveguide structure. With the addition of magnetized cerium-substituted yttrium iron garnet waveguides and planar samarium-cobalt biasing magnets to a Mach-Zehnder interferometer (MZI), we show that an efficient isolator architecture can be implemented with insertion loss of 2.51 dB and an isolation of 22.82 dB within a small footprint of 6:4 x 10<sup>-3</sup> mm<sup>2</sup>. Additionally, employing bismuth-substituted yttrium iron garnet in a MZI and transient magnetic fields from nearby transmission lines, we propose a high-speed electrical-to-optical clock multiplier. Such a device exhibits a modulation depth of 16.26 dB, and an output modulation frequency of 279.9 MHz. Thus, input clock signals can be multiplied by factors of 2:1 x 10<sup>3</sup>. These devices are envisioned as fundamental constituents of future integrated nanoplasmonic circuits.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.519
Threshold uncertainty score0.858

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 science0.0010.000
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 head0.011
GPT teacher head0.199
Teacher spread0.188 · 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