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Record W1986700200 · doi:10.1063/1.4817369

Broadband light trapping in thin organic photovoltaic cells using plasmonic resonant antennas

2013· article· en· W1986700200 on OpenAlexaff
Khai Q. Le

Bibliographic record

VenueJournal of Applied Physics · 2013
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPlasmonOptoelectronicsMaterials scienceAbsorption (acoustics)Surface plasmonPlasmonic solar cellPhotovoltaic systemRayActive layerOpticsEnergy conversion efficiencyLayer (electronics)Polymer solar cellPhysicsNanotechnologyElectrical engineering

Abstract

fetched live from OpenAlex

A numerical investigation of plasmonic resonant antennas influence on optical absorption efficiency of organic photovoltaic (PV) cells with thin active layers is reported. Integrating cylindrical Ag antennas on PV cells can enhance absorption efficiency by up to 22%, over a broad bandwidth of operation. This corresponds to an increase in integrated AM1.5G absorption at normal incidence from 48 to 58.5%. Broadband enhancement is observed for transverse-electric and transverse-magnetic polarized incident light, over a wide angle range. It is attributed to plasmonic antennas converting incident sunlight to surface plasmon resonant modes, localized around the antenna/polymer active layer interface. This results in a strong field enhancement in the active layer and enhances absorption efficiency.

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 score0.003
Threshold uncertainty score0.881

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 integrity0.0000.001
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 head0.010
GPT teacher head0.188
Teacher spread0.177 · 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

Citations15
Published2013
Admission routes1
Has abstractyes

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