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Record W1998219149 · doi:10.1364/josab.23.002142

Linear and nonlinear optical properties of Au-polymer metallodielectric Bragg stacks

2006· article· en· W1998219149 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of the Optical Society of America B · 2006
Typearticle
Languageen
FieldEngineering
TopicNonlinear Optical Materials Studies
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceBilayerHomogeneity (statistics)Bragg's lawOpticsWavelengthOptoelectronicsMolecular physicsMembraneDiffractionChemistryPhysics

Abstract

fetched live from OpenAlex

We demonstrate the fabrication of one-dimensional metallodielectric Bragg stacks (MDBSs) from 500nm spin-coated poly(methyl methacrylate) and 20nm evaporated Au layers; one-, two-, and three-bilayer structures are achieved with good homogeneity (<2% thickness variation). The linear reflection and transmission spectra show very strong modulation relative to the constituent materials for only a few bilayers; transmission windows associated with sharp Bragg resonances are observed at ∼600 and ∼850nm, while other regions provide reflections of >90%. Nonlinear absorption was measured by a z-scan technique and is observed to be enhanced at the Bragg resonances. The ∼600nm peak of the three-bilayer MDBS is enhanced by approximately seven times compared to a single Au film. The wavelength dependence of the nonlinear enhancement can be correlated with the attenuation parameter. The experimental results are in good agreement with numerical simulations based on a transfer-matrix method employing the known physical and optical parameters. The MDBSs show strong potential as versatile and inexpensive components for optical devices.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.482

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 studies0.0000.001
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 head0.008
GPT teacher head0.201
Teacher spread0.193 · 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