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Record W2059997071 · doi:10.1109/lpt.2013.2261806

Integrated Wide-Band Power Divider/Combiner at Plasmonic Interfaces

2013· article· en· W2059997071 on OpenAlexaff
Mohamed H. El Sherif, Osman Sayed Ahmed, Mohamed H. Bakr

Bibliographic record

VenueIEEE Photonics Technology Letters · 2013
Typearticle
Languageen
FieldEngineering
TopicPlasmonic and Surface Plasmon Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPlasmonPower dividers and directional couplersNanowireOptoelectronicsOpticsMaterials scienceSplitterSiliconPlanarPhysicsComputer science

Abstract

fetched live from OpenAlex

We propose a wide-band power divider/combiner configuration to facilitate light access and manipulation in planar nano-plasmonic devices. Light is incident from a standard silicon nanowire (negligible propagation losses) to be accessed by a nano-plasmonic circuit providing subwavelength confinement. The structure circumvents the inherent losses associated with long distance light propagation in nano-plasmonic splitters as coupling and splitting are performed at the same interface with small splitting losses. Plasmonic slot waveguides (PSWs) are utilized for subwavelength confinement. Two PSWs placed orthogonally to a silicon nanowire are utilized for the power division/combining functionality. The power splitter has been analyzed by the finite-difference time-domain numerical method. The proposed device is of compact size and wide-band operation. The relative displacement of the silicon nanowire from the PSWs is optimized. A splitting of 34%, over most of the wavelength spectrum from 0.8-2.5 μm , is demonstrated.

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 communication0.0010.000
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 head0.007
GPT teacher head0.198
Teacher spread0.191 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

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