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Record W3176297968 · doi:10.1002/sdtp.14670

23‐3: Self‐Assembled Cathode Patterning for Micro‐Welding in Top‐Emission AMOLED Displays to Reduce IR Drop

2021· article· en· W3176297968 on OpenAlexaff
Zhibin Wang, Yi‐Lu Chang, Qi Wang, Yingjie Zhang, Jacky Qiu, Michael G. Helander

Bibliographic record

VenueSID Symposium Digest of Technical Papers · 2021
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsOTI Lumionics (Canada)
Fundersnot available
KeywordsAMOLEDCathodeMaterials scienceOptoelectronicsDrop (telecommunication)BackplaneElectrodeNanotechnologyElectrical engineeringActive matrixEngineeringChemistryThin-film transistorLayer (electronics)

Abstract

fetched live from OpenAlex

Cathode IR‐Drop is one of the major barriers for large area top‐emission AMOLED displays with low power consumption. A solution based on making an electrical connection between the top cathode and a prefabricated auxiliary electrode in the backplane was demonstrated using ConducTorr TM self‐assembled cathode patterning process. Mid‐size top‐emission AMOLED panels for IT and large‐size panels for TV can be enabled by such damage‐free patterning process.

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 categoriesMeta-epidemiology (narrow)
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 score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.240
Teacher spread0.231 · 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.

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
Published2021
Admission routes1
Has abstractyes

Explore more

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