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Optical Wavelength Tunability of Negative Refractive Index Transmission Line Phase Shifter

2024· article· en· W4402968292 on OpenAlexaff
Asif Bilal, Abdul Quddious, Atsushi Kanno, Tetsuya Kawanishi, Marco A. Antoniades, Stavros Iezekiel

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsToronto Metropolitan University
FundersEuropean Cooperation in Science and Technology
KeywordsPhase shift moduleRefractive indexMaterials scienceOpticsWavelengthOptoelectronicsPhase (matter)Normalized frequency (unit)Step-index profileOptical fiberInsertion lossGraded-index fiberPhysicsPhase noiseFiber optic sensor

Abstract

fetched live from OpenAlex

An optically reconfigurable phase shifter based on negative-refractive-index transmission line (NRI-TL) metamaterials is presented; the design is suitable for 5G antenna beam steering. Continuous tuning of the transmitted signal's phase is achieved by using varactor diodes for which the biasing is provided via an array of photodiodes placed on the back of the substrate. These are illuminated by a remote optical source whose wavelength can be tuned in the visible range, thus enabling indirect control of the varactor capacitance (and hence the phase shift) while also eliminating the need for a complex biasing network. Three different phases are achieved by illuminating the photodiode array with three different wavelengths (blue, green, and red). The compact size along with simplified biasing network introduced by the inclusion of the optical wavelength tunability has numerous applications in antenna and phased array technology, making the design a suitable candidate for 5G beam steering applications.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.693
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.277
Teacher spread0.264 · 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.

Study designOther design
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

Citations0
Published2024
Admission routes1
Has abstractyes

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