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Record W4409497222 · doi:10.1088/2515-7647/adcddd

Impact of permittivity grading on coupled resonance in hybrid-ENZ metasurfaces

2025· article· en· W4409497222 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

VenueJournal of Physics Photonics · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsUniversity of Waterloo
FundersH2020 European Research CouncilEngineering and Physical Sciences Research Council
KeywordsPermittivityMaterials scienceGrading (engineering)Resonance (particle physics)OpticsOptoelectronicsPhysicsDielectricEngineeringAtomic physics

Abstract

fetched live from OpenAlex

Abstract Hybrid-epsilon-near-zero (ENZ) metasurfaces, consisting of nanoantenna arrays on thin films of ENZ materials, feature a coupled resonance spectrum and have gathered significant interest for their nonlinear optical properties and their use in electro-optically tunable metasurfaces. While typically assumed to have a uniform permittivity, the ENZ film often features a graded permittivity distribution as a consequence of either material growth or capacitive tuning. Here we assess the impact of such a permittivity grading on the coupled resonance spectrum and show that the presence of grading alone results in a strong shift of the transmission minima of the coupled resonance, providing a new design parameter for hybrid-ENZ metasurfaces.

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 score0.256
Threshold uncertainty score0.545

Codex and Gemma teacher scores by category

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

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 head0.014
GPT teacher head0.285
Teacher spread0.271 · 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