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Record W2527513256 · doi:10.11159/icnfa16.118

Possibility of Constructive Surface Plasmon Scattering in Organic Light Emitters

2016· article· en· W2527513256 on OpenAlexvenueno aff
Yuta Mizoguchi, Takuya Yoneda, Takahiro Inui, Tatsuya Ishiguro, K. Kasahara, Naoya Ikeda, Yoshiaki Sugimoto

Bibliographic record

VenueProceedings of the World Congress on New Technologies · 2016
Typearticle
Languageen
FieldMaterials Science
TopicGold and Silver Nanoparticles Synthesis and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsLight scatteringPlasmonSurface plasmonScatteringOptoelectronicsMaterials scienceOpticsConstructivePhysicsComputer science

Abstract

fetched live from OpenAlex

Extended Abstract It is of scientific and practical significance to study surface plasmon polariton (SPP) scattering-enhanced light emission which occurs in organic light emitting diodes. Energy transfer from nonradiative components in an organic layer to SPPs could be extracted as light through the SPP scattering at submicrometer-scale roughness on the surface of a metal film, which affects the light-emitting efficiency of the organic layer. So far, there have been some experimental investigations on this using low molecular weight organic materials and polymers. PL enhancement reached, for example, ~10 in the normal direction with Alq3 on Au, compared with Alq3 without Au [1-3]. On the other hand, a rigorous formulation for the scattering of SPP from a one-dimensional surface irregularity was developed by the use of an impedance boundary condition, yielding an electromagnetic field above a metal [4]. Using the formula, one can obtain the scattering probability (=Psc/Pinc), where Psc: total power carried away from a metal surface by SPP scattering, and Pinc: power carried by an incident SPP. However, we found that numerical calculations could not account for the measured PL enhancement. One SPP is usually understood to be created by energy transfer from a neighboring exciton in the organic layer. This paper describes the possibility that multiple SPPs are generated in phase, leading to constructive interference occurrence among the scatted electromagnetic waves. The distance between the closest organic molecules is an order of nm, and it is possible that SPPs are generated simultaneously rather than separately. To confirm the SPP-enhanced PL, we measured the quantum efficiencies of Alq3/GaAs and Alq3/Ag/GaAs using an integrating sphere. The thickness of Alq3 was 60 nm for two samples, and Ag was 200-nm thick. It was necessary to take into account the fact that the light collected with the Alq3/Ag/GaAs sample was almost double. As a result, the quantum efficiency of Alq3/Ag/GaAs was confirmed to be ~2.5 times higher than that of Alq3/GaAs. Using a simple approach, PL enhancement is expressed as (p-(1-)ps+ (1-p)/p. Here, p is the radiative probability of an exciton without metal, ps is the SPP generation probability, and  is the energy transfer probability of the nonradiative component to SPP. We performed numerical calculations on . The average heights of the bump and pitch measured by AFM were 7 nm and 100 nm, and these averages were used in the calculation. The colliding times of SPP which experienced bumps was determined by the propagation distance of the SPP attenuating to 1/e due to ohmic loss. As a result,  was found to be as small as 0.04. If this is true, one can never explain the enhanced PL. The total energy that original N excitons possess is, of course, proportional to N, regardless of individual phase of generated SPPs, whose electric field is expressed as j i

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.221
Teacher spread0.211 · 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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