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Record W2611895067 · doi:10.1021/acsphotonics.7b00203

Black Phase-Changing Cathodes for High-Contrast Organic Light-Emitting Diodes

2017· article· en· W2611895067 on OpenAlexafffund
Jiaxiu Man, Shou‐Jie He, Tao Zhang, Dengke Wang, Nan Jiang, Zheng‐Hong Lu

Bibliographic record

VenueACS Photonics · 2017
Typearticle
Languageen
FieldEngineering
TopicOrganic Light-Emitting Diodes Research
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsOLEDMaterials scienceCathodeLayer (electronics)OptoelectronicsDiodeTernary operationRefractive indexPhase (matter)Substrate (aquarium)Contrast ratioLight-emitting diodeOpticsNanotechnologyChemistry

Abstract

fetched live from OpenAlex

High-contrast organic light-emitting diodes (HC-OLEDs) with black phase-changing (PC) cathodes have been designed and fabricated. The black PC-cathode consists of a front thin semitransparent metal layer, an organic PC layer, and a rear thick reflective metal layer. To achieve a targeted high contrast over the full visible spectrum, several organic molecules and their binary and ternary compounds were researched to meet optical design requirement. By combining a design in the complex refractive index and in the thickness of the PC layer, it is demonstrated that the optical reflectance of the HC-OLED can be reduced from ∼80% to below that of the glass substrate (∼5%) by using a ternary organic compound as the PC layer. This black PC-cathode produces extremely high optical contrast, and yet it does not alter the current–voltage characteristics of the device.

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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.286
Teacher spread0.267 · 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".

Quick stats

Citations12
Published2017
Admission routes2
Has abstractyes

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