MétaCan
Menu
Back to cohort
Record W2106220925 · doi:10.1109/newcas.2005.1496658

A Low-Power Driving Scheme for a-Si:H Active-Matrix Organic Light-Emitting Diode Displays

2005· article· en· W2106220925 on OpenAlexaff
G. Reza Chaji, N. Safavian, Arokia Nathan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAMOLEDOLEDActive matrixCapacitanceMaterials scienceOptoelectronicsDiodeLuminancePower (physics)Threshold voltageVoltageLow-power electronicsLight-emitting diodeMetastabilityComputer scienceElectrical engineeringElectronic engineeringPower consumptionThin-film transistorEngineeringOpticsPhysicsNanotechnologyElectrodeTransistor

Abstract

fetched live from OpenAlex

This paper describes a low-power driving scheme along with a pixel circuit based on hydrogenated amorphous silicon (a-Si:H) technology for active matrix organic light emitting diode (AMOLED) displays. The driving scheme can provide different current levels for the OLED while compensating for long-term (and gradual) instabilities caused by material defect metastability which will make it amenable for use in AMOLED displays. Moreover, since the threshold voltage is known in this method, it can be used to compensate for the time-dependent errors of the charge injection and clock feed-through effects. Therefore, the error for a 3V shift in the VT of T1 is almost zero. More importantly, it has low power consumption because the line capacitance is charged just one time during the programming cycle. For example, the total power consumption of a QVGA array (240*320) is expected to be less than 1.5W.

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 score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.005
GPT teacher head0.215
Teacher spread0.210 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

Same topicThin-Film Transistor TechnologiesFrench-language works237,207