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Record W2224498978 · doi:10.1364/josab.32.002088

Circular-polarization-dependent mode hybridization and slow light in vertically coupled planar chiral and achiral plasmonic nanostructures

2015· article· en· W2224498978 on OpenAlexaff
Kun Jiang, Cheng He, Xiaoping Liu, Minghui Lu, Bo Cui, Yanfeng Chen

Bibliographic record

VenueJournal of the Optical Society of America B · 2015
Typearticle
Languageen
FieldEngineering
TopicPlasmonic and Surface Plasmon Research
Canadian institutionsUniversity of Waterloo
FundersNational Key Research and Development Program of ChinaNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsCircular polarizationPlasmonElectromagnetically induced transparencyPolarization (electrochemistry)PlanarOpticsPhysicsNanostructureAmplitudeOptoelectronicsMolecular physicsChemistryQuantum mechanics

Abstract

fetched live from OpenAlex

We numerically studied a square array of plasmonic nanostructures with the unit cell composed of a z-shaped chiral structure and an achiral strip pair. Circular-polarization-dependent mode hybridization between the z-shaped structure’s radiant mode and the strip pair’s subradiant mode is observed: the resonance amplitudes of two hybrid modes are different for left-handed and right-handed circularly polarized waves, and an electromagnetically induced transparency-like transparency window is obvious for only one circularly polarized wave. Consequently, slow light with small group velocity is only evident for the corresponding polarization state.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.009
GPT teacher head0.223
Teacher spread0.214 · 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 designSimulation or modeling
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

Citations2
Published2015
Admission routes1
Has abstractyes

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