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Record W6976360403 · doi:10.60692/40qpw-hc682

Narrow bandwidth perfect absorber based on composite hybrid plasmonics

2023· article· en· W6976360403 on OpenAlexaff

Bibliographic record

VenueGreater South Information System · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology, Conservation, and Geographical Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPlasmonBandwidth (computing)Surface plasmon polaritonSurface plasmonComposite numberCoupling (piping)DiffractionPhotonics

Abstract

fetched live from OpenAlex

Surface plasmon polaritons (SPPs) have shown unprecedented potential for miniaturizing photonic devices beyond the optical diffraction limit. However, their high intrinsic loss from metal material has been a major barrier to practical applications. One effective approach to reducing their effective loss is to engineer SPPs coupling by designing hybrid plasmonic waveguides (HPWs). In this work, we first theoretically calculate and analyze the coupling modes in a composite HPW (CHPW), demonstrating that the long-range and short-range supermodes in CHPW correspond to two different SPPs at two metal layer interfaces. Next, we propose and demonstrate a narrow bandwidth perfect absorber based on CHPW structure. The absorber's bandwidth is only 12.9 nm in the visible range and 6.67 nm in the near-infrared range. Our simulation results demonstrate that the CHPW's SPPs coupling mechanism can be extended to localized surface plasmons (LSPs) in the proposed perfect absorber, enabling a low-loss mode that contributes to the narrow bandwidth. This suggests that the CHPW configuration could facilitate the development of more advanced low-loss, high-performance plasmonic 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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.993

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)0.0000.008

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 head0.019
GPT teacher head0.192
Teacher spread0.173 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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