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Record W2946833696 · doi:10.1002/sdtp.13056

60‐5: <i>Late‐News Paper</i> : 17‐inch Transparent AMOLED Display With Self‐Assembled Auxiliary Electrode

2019· article· en· W2946833696 on OpenAlexaff
Zhibin Wang, Yi‐Lu Chang, Qi Wang, Yingjie Zhang, Jacky Qiu, Michael G. Helander, Yi‐Hsiang Huang, Wei‐Lung Tsai, Kuan‐Ting Chen, Jia-Chong Ho

Bibliographic record

VenueSID Symposium Digest of Technical Papers · 2019
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsOTI Lumionics (Canada)
Fundersnot available
KeywordsAMOLEDMaterials scienceElectrodeOptoelectronicsFabricationCathodeOLEDDrop (telecommunication)NanotechnologyLayer (electronics)Active matrixComputer scienceElectrical engineeringChemistryEngineeringTelecommunications

Abstract

fetched live from OpenAlex

A novel top electrode (e.g., cathode) patterning technology using self‐assembly has been developed. The fabrication process is compatible with existing vacuum thermal evaporation techniques used in AMOLED mass production. The minimum feature size of the patterned electrode is demonstrated down to <6 μm. This method can be used to fabricate an auxiliary electrode on the top of an AMOLED display with sheet resistance < 1 Ω/□ and without damaging the sensitive front plane. Applications include reducing the IR drop in medium to large size panels and improving the performance of transparent AMOLED displays. A 17‐inch transparent AMOLED display panel with >60% transmission and improved performance was demonstrated using this technique.

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 score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.004

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 head0.004
GPT teacher head0.188
Teacher spread0.184 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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Same venueSID Symposium Digest of Technical PapersSame topicThin-Film Transistor TechnologiesFrench-language works237,207