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Record W2030306740 · doi:10.1117/12.812072

Guidewave surface plasmon-polariton sensors

2009· article· en· W2030306740 on OpenAlexaff
Raman Kashyap, Galina Nemova

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMaterials sciencePlanarWaveguideFiber Bragg gratingOpticsGratingSurface plasmon polaritonOptoelectronicsSurface plasmonWavelengthPlasmonPolaritonLayer (electronics)Refractive indexNanotechnologyPhysicsComputer science

Abstract

fetched live from OpenAlex

Theoretical models of surface plasmon-polariton (SPP) refractive index sensors with Bragg grating and long period grating (LPG) are presented and comprehensively investigated for fiber and planar structures. The main principle of operation of these devices is based on high efficiency energy transfer between a guided mode propagating in a waveguide layer of the structure and counter- or co-propagating SPP supported by a metal layer separated from the waveguide layer by a buffer. The high efficiency energy transfer is realized by means of a properly designed Bragg grating or LPG imprinted in the waveguide layers of the structures or engraved on the top of the metal layer. These devices are compact, free from any moving parts and can be easily integrated into any fiber or planar schemes. Our simulations are made for telecom wavelengths in the 1500nm window.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

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 studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.225
Teacher spread0.215 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE→Same topicAdvanced Fiber Optic Sensors→French-language works237,207→