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Record W2094315605 · doi:10.1063/1.3650454

A liquid crystal-based dynamically tunable photonic bandgap structure

2011· article· en· W2094315605 on OpenAlexafffund
Dominic E. Schaub, Derek R. Oliver

Bibliographic record

VenueJournal of Applied Physics · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhotonic Crystals and Applications
Canadian institutionsUniversity of Manitoba
FundersWestern Economic Diversification CanadaCMC Microsystems
KeywordsPhotonic crystalMaterials scienceBand gapSiliconLiquid crystalOptoelectronicsDielectricOpticsWide-bandgap semiconductorSubstrate (aquarium)Physics

Abstract

fetched live from OpenAlex

A tunable linear photonic bandgap device based on a silicon/liquid crystal dielectric combination has been designed and fabricated. The design features a microstrip line, whose substrate of periodically spaced silicon squares in BL006 (a nematic liquid crystal mixture) induces a bandgap that contracts in response to a low-frequency voltage. Numerical band structure calculations and finite element simulations of the fabricated device showed a bandgap tuning of approximately 10% for the lattice geometries employed. The measured scattering parameters agreed very well with simulations and demonstrated significant tuning of the first bandgap in the range of 6.5–8.4 GHz.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
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 head0.011
GPT teacher head0.220
Teacher spread0.209 · 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 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

Citations1
Published2011
Admission routes2
Has abstractyes

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