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Record W2142775931 · doi:10.1116/1.1705583

Analysis and characterization of self-compensating current programmed a-Si:H active matrix organic light-emitting diode pixel circuits

2004· article· en· W2142775931 on OpenAlexafffund
K. Sakariya, Sanjiv Sambandan, Peyman Servati, Arokia Nathan

Bibliographic record

VenueJournal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2004
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Waterloo
KeywordsAMOLEDActive matrixThin-film transistorOLEDElectronic circuitMaterials scienceOptoelectronicsDiodeTransistorCompensation (psychology)Amorphous siliconThreshold voltageCurrent mirrorElectrical engineeringElectronic engineeringVoltageSiliconEngineeringNanotechnologyCrystalline silicon

Abstract

fetched live from OpenAlex

The organic light-emitting diode (OLED) drive current provided by a simple 2 thin film transistor (TFT) hydrogenated amorphous silicon (a-Si:H) active matrix OLED (AMOLED) voltage programmed pixel circuit drops over time due to threshold voltage (VT) increase in the drive TFT. VT shift compensating current programmed 4-TFT circuits have been developed to overcome this problem and to keep the drive current constant, thereby prolonging the life of the display. In this article, we present a thorough analysis of the static and dynamic operation of such circuits and derive theoretical limits for the extent of compensation. Measurement results of circuit characteristics and stability are presented which demonstrate that it is feasible to use a-Si:H for AMOLED back planes. The advantages and drawbacks of current programmed circuits are also outlined from the perspective of active matrix back-plane design.

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)0.001
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 score0.078
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.226
Teacher spread0.220 · 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

Citations7
Published2004
Admission routes2
Has abstractyes

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