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Record W2091360184 · doi:10.1063/1.3562372

Polarization and angle independent terahertz metamaterials with high Q-factors

2011· article· en· W2091360184 on OpenAlexaff
Ibraheem Al‐Naib, Christian Jansen, Norman Born, Martín Koch

Bibliographic record

VenueApplied Physics Letters · 2011
Typearticle
Languageen
FieldMaterials Science
TopicMetamaterials and Metasurfaces Applications
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsMetamaterialSplit-ring resonatorTerahertz radiationPolarization (electrochemistry)DipoleResonance (particle physics)ResonatorOpticsFano resonanceMaterials scienceBrewster's angleExcited stateOptoelectronicsPlasmonPhysicsAtomic physicsChemistry

Abstract

fetched live from OpenAlex

We propose polarization and angle insensitive metamaterials at terahertz frequencies consisting of two concentric ring resonators with interdigitated fingers placed between the rings. We experimentally demonstrate that the bandstop resonance remains unaffected by changes in both the incident angle and the polarization. Furthermore, high quality-factors of more than 16 are observed as Fano-like modes with small dipole moments are excited. We show that the sharpness of the resonance can be controlled by the number of interdigitated finger pairs. The structures exhibit pronounced normal phase dispersion near the resonance, which renders them attractive candidates for electromagnetic induced transparency and slow light 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 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 score0.002

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.023
GPT teacher head0.208
Teacher spread0.185 · 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

Citations73
Published2011
Admission routes1
Has abstractyes

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