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Record W1993566057 · doi:10.1109/ipcon.2012.6358825

Stacked fano resonance photonic crystal nanomembrane high-Q filters

2012· article· en· W1993566057 on OpenAlexaff
Yichen Shuai, Deyin Zhao, Zhaobing Tian, Jung‐Hun Seo, RB Jacobson, David V. Plant, M. G. Lagally, Shanhui Fan, Zhenqiang Ma, Weidong Zhou

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhotonic Crystals and Applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsFano resonanceNanophotonicsPhotonic crystalMaterials scienceOptoelectronicsPlasmonFano planeResonance (particle physics)MetamaterialQuantum dotDielectricPhotonicsAtomic layer depositionOpticsLayer (electronics)NanotechnologyPhysics

Abstract

fetched live from OpenAlex

Recently, the Fano resonance, known from atomic physics, has been employed for a wide variety of nanophotonic structures, such as quantum dots, photonic crystals (PCs), plasmonics, and metamaterials. [1, 2] With modal dispersion engineering, Fano filters and reflectors can all be realized in single-layer dielectric PC structures. [3–5] We report here ultra-compact surface-normal high-Q Fano resonance filters, based on single-and double-layer PC nanomembranes (NMs), utilizing single-crystal Si-NM transfer printing and poly-crystalline-Si deposition processes. [6, 7]

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score0.994

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)0.0070.000

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 head0.236
Teacher spread0.227 · 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 designNot applicable
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
Published2012
Admission routes1
Has abstractyes

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