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Effect of quantum interference on absorption of light in metamaterial hybrids

2016· article· en· W2531605900 on OpenAlexafffund
Mahi R. Singh, Kieffer Davieau, Jeffrey J. L. Carson

Bibliographic record

VenueJournal of Physics D Applied Physics · 2016
Typearticle
Languageen
FieldEngineering
TopicPlasmonic and Surface Plasmon Research
Canadian institutionsSt Joseph's Health CareLawson Health Research InstituteWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAbsorption (acoustics)Surface plasmon polaritonExcitonMaterials scienceSurface plasmonExcited stateAtomic physicsMetamaterialOptoelectronicsPlasmonMolecular physicsPhysicsCondensed matter physicsOptics

Abstract

fetched live from OpenAlex

This report describes the effect of quantum interference on the absorption of light in a quantum emitter and metamaterial system. The system was comprised of a dielectric substrate doped with quantum emitters and metallic split ring resonators that included metallic rods. At the interface between the dielectric substrate and the metal are surface plasmon polaritons; these interact with excitons, which are present in quantum emitters. Quantum interference occurs due to the interaction between excitons and surface plasmon polaritons. It is also considered that excitons decay from an excited state to the ground state due to the radiative and nonradiative decay processes. The quantum interference phenomenon occurs between excitons decay rates. The density matrix method is used to calculate the absorption of light in the presence of both radiative and nonradiative processes. It is found that there is a decrease in the absorption of light by metamaterial hybrids due to quantum interference. There is also an increase in the absorption of light when the resonant frequencies of two excitons are in resonance with the surface plasmon polariton. Absorption peaks are shifted and broadened due to the surface plasmon polariton coupling. These findings suggest that the optical absorption properties of a metamaterial hybrid can be tuned by doping the supporting substrate with quantum emitters.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.460

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 studies0.0000.000
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 head0.011
GPT teacher head0.242
Teacher spread0.230 · 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 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

Citations24
Published2016
Admission routes2
Has abstractyes

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