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Record W4405932678 · doi:10.1021/acsami.4c17457

Pure Mg Cathode for Highly Efficient Single-Layer Organic Light-Emitting Diodes

2024· article· en· W4405932678 on OpenAlexaff
Li Guan, Dengke Wang, Xin Yan, Jiaxiu Man, Dongming Zhang, Changsheng Shi, Zheng‐Hong Lu

Bibliographic record

VenueACS Applied Materials & Interfaces · 2024
Typearticle
Languageen
FieldEngineering
TopicOrganic Light-Emitting Diodes Research
Canadian institutionsUniversity of Toronto
FundersNational Natural Science Foundation of China
KeywordsMaterials scienceCathodeOLEDOptoelectronicsLayer (electronics)DiodeLight-emitting diodeNanotechnologyElectrical engineering

Abstract

fetched live from OpenAlex

Highly efficient single-layer organic light-emitting diodes (OLEDs) are demonstrated by using a pure Mg cathode that is seeded with a small amount of Ag nucleation sites. Bis(4-phenylthieno[3,2- c ]pyridinato- N,C2’)(acetylacetonate)iridium(III) (PO-01)-doped devices with three-, two-, and one-region doping configurations exhibit maximum external quantum efficiency (EQE) values of 22.8%, 21.7%, and 11.2%, respectively, which are the highest reported to date for orange single-layer OLEDs. Moreover, the EQE of the one-region device can be raised to 18.2% when using a codopant to balance electron and hole traps. Charge transport characteristics are also investigated by single-carrier devices, which reveal that bipolar hosts with well-balanced hole and electron transport are not a prerequisite for achieving high-efficiency single-layer OLEDs; instead, dopants play a crucial role in determining the location of the recombination zone due to the charge trapping effect.

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 score0.002

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 communication0.0010.000
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 head0.018
GPT teacher head0.251
Teacher spread0.233 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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Same venueACS Applied Materials & InterfacesSame topicOrganic Light-Emitting Diodes ResearchFrench-language works237,207