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Record W2485714772 · doi:10.1149/07510.0247ecst

(Invited) Transparent Top Gate Oxide TFT with ITO/Ag/ITO Low Resistance Electrode for the Application to the High Speed Operation Fingerprint Sensor Array in the Touch Panel

2016· article· en· W2485714772 on OpenAlexaff
Yujin Kim, Guk-Jin Jeon, Myung Keun Lee, Seung Hee Lee, Sang‐Hee Ko Park

Bibliographic record

VenueECS Transactions · 2016
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsKootenay Association for Science & Technology
FundersNational NanoFab Center
KeywordsThin-film transistorMaterials scienceElectrodeOptoelectronicsSheet resistanceStack (abstract data type)TransistorTransmittanceLayer (electronics)Etching (microfabrication)Fingerprint (computing)Electrical engineeringNanotechnologyComputer scienceEngineeringChemistry

Abstract

fetched live from OpenAlex

Oxide thin film transistor (TFT) and low-resistance electrode are necessary to manufacture transparent and high resolution fingerprint sensor for application to touch panel display. We adopted ITO/Ag/ITO triple layered stack as an electrode according to that inserting thin Ag layer between both sides of ITO layers definitely helps resistance decreases. Through simulation and optimization, we have chosen each thickness of three layers for optimal transmittance and sheet resistance, and developed dry etching conditions. Top gate structured IGZO TFT with triple layered S/D electrode showed outstanding electrical performance and is expected to be applied to transparent display panel.

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 score0.002
Threshold uncertainty score0.005

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.015
GPT teacher head0.213
Teacher spread0.198 · 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

Citations4
Published2016
Admission routes1
Has abstractyes

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