MétaCan
Menu
Back to cohort
Record W2135543891 · doi:10.1109/newcas.2006.250909

Low-Cost Stable a-Si:H AMOLED Display for Portable Applications

2006· article· en· W2135543891 on OpenAlexaff
G. Reza Chaji, Arokia Nathan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAMOLEDBackplaneOLEDActive matrixThin-film transistorMaterials scienceTransistorPower consumptionComputer scienceOptoelectronicsComputer hardwarePower (physics)Electrical engineeringNanotechnologyEngineering

Abstract

fetched live from OpenAlex

A large sector of display market comprises portable devices including cell phones, personal organizers, PDAs, portable electronic games, etc. Important design considerations for displays employed in these applications are power consumption and cost. Hydrogenated Amorphous silicon (a-Si:H) active matrix organic light emitting diode (AMOLED) displays are promising technology for these applications. However, the a-Si:H AMOLED backplane suffers from the temporal instability. Although, several stable driving schemes have been proposed, they suffer from high implementation cost due to extra driving circuitry and high power consumption due to additional operating cycles. This paper presents a new driving scheme that provides a stable AMOLED display despite the aging effects in the a-Si:H thin film transistors and OLED, without increasing the driving complexity

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score0.534

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
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 head0.006
GPT teacher head0.196
Teacher spread0.190 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicThin-Film Transistor TechnologiesFrench-language works237,207