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Record W1778535285

Near infrared surface plasmon resonance of gold nanoring based plasmonic crystals for sensor applications

2009· article· en· W1778535285 on OpenAlexaff
Hao Jiang, Jayshri Sabarinathan

Bibliographic record

VenueInternational Conference on Nanotechnology · 2009
Typearticle
Languageen
FieldEngineering
TopicPlasmonic and Surface Plasmon Research
Canadian institutionsWestern University
Fundersnot available
KeywordsNanoringPlasmonSurface plasmon resonanceMaterials scienceSurface plasmonInfraredOptoelectronicsNanosensorResonance (particle physics)OpticsNanotechnologyNanoparticlePhysics
DOInot available

Abstract

fetched live from OpenAlex

Plasmonic crystal structures based on periodic arrays of gold nanorings were fabricated on glass substrates and studied by transmission measurements and by Finite Difference Time Domain simulations. Transmission measurement results, which closely match the simulation results, show two surface plasmon resonance peaks in the near infrared spectrum range and the peaks can be tuned by changing the lattice constants of the arrays. Using simulations, we investigated the quantitative performance of the sensor. The results show a sensitivity of 537nm/RIU in bulk sensing applications and 1.6 nm spectral shift for 1nm change in coating thickness on the surface of the gold nanorings in affinity sensing applications.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.990

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 science0.0010.000
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 head0.029
GPT teacher head0.281
Teacher spread0.253 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2009
Admission routes1
Has abstractyes

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