MétaCan
Menu
Back to cohort
Record W4249183565 · doi:10.1149/ma2019-02/54/2365

Amorphous Indium-Gallium-Zinc-Oxide Transistor Used Ion Gel Dielectric for Low Driving Voltage and Easy Processing

2019· article· en· W4249183565 on OpenAlexaff
Jinkyoo Kim, Sang‐Hee Ko Park

Bibliographic record

VenueECS Meeting Abstracts · 2019
Typearticle
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsTransistorMaterials scienceDielectricOptoelectronicsGate dielectricThin-film transistorElectronic circuitLow voltageElectrical engineeringVoltageComputer scienceNanotechnologyLayer (electronics)Engineering

Abstract

fetched live from OpenAlex

Transistors using organic materials are attracting huge attention in the market today due to their low cost and possibility of solution process. Moreover, since the organic materials used in transistors are intrinsically flexible, they are believed to be essential elements for the realization of flexible devices such as stretchable displays, rollable displays, and wearable devices. In most cases, however, because of the low dielectric constant of organic materials, the operating voltage of the transistor is very high when the organic materials are used as the gate dielectric layer. When the operating voltage of the transistor is high, two serious problems can occur. First, the high operating voltage can cause increased power consumption of the transistor. It is a fatal drawback that reduces the applicability to wireless device applications because in the case of wireless electronic equipment, lifetime of battery is limited. Also, as the operating voltage increases, additional gate driver integrated circuits are required to control the driving voltage. This leads to the increased process complexity, and reduces the price competitiveness of the device. Therefore, it can be said that the possibility of mass production and functionality of transistors using organic materials will increase by solving these two problems. As a result, various studies have been focused on solving these problems by reducing the thickness of dielectric or choosing unique organic material with high dielectric constant [2] [3]. In order to solve above problems, we proposed the transistors based on ion gel dielectric, which has high capacitance. Ion gel refers to the substance in which ionic liquid is trapped in the polymer matrix [1]. When the voltage is applied to the electrode, the ion gel forms an electric double layer (EDL) at the interface with the electrode. Since EDL forms a capacitor with thickness of several nanometers, the ion gel has a very high capacitance above 1μF/cm2 [1]. From the capacitance-frequency curve measurement of Metal-Ion gel insulator-Metal capacitor (MIM), it was confirmed that the capacitance of ion gel increased as the amount of ionic liquid in ion gel increased. In addition, MIM showed the capacitance around 1μF/cm2 even if the ionic liquid content was very small. In the case of the transistor structure, the transistor was easy to fabricate because the gate electrode was deposited on the same substrate as the source-drain electrode. The active layer had the width of 20μm and the length of 160μm. The gate leakage current of the transistor increased with increasing the amount of ionic liquid in the ion gel. By optimizing the amount of ionic liquid to control gate leakage current, the ionic liquid was chosen 3% relative to the polymer in terms of mass and the gate leakage current was reduced to several tens of picoampere. The transfer characteristic represented that turn-on-voltage was near -1V and on-off ratio was 3.93·104 when the gate voltage was swept from -4V to 4V. This result shows that the transistor can operate with well-behaved electrical property even at small driving voltage near 4V. The transistor made by simple fabrication with ion gel dielectric showed outstanding electrical characteristics with low driving voltage around 4V and this result will pave the way for the next generation of flexible devices. [1] Wang, H., Wang, Z., Yang, J., Xu, C., Zhang, Q., & Peng, Z. (2018). Ionic Gels and Their Applications in Stretchable Electronics. Macromolecular rapid communications, 39(16), 1800246. [2] Yoon, M. H., Yan, H., Facchetti, A., & Marks, T. J. (2005). Low-voltage organic field-effect transistors and inverters enabled by ultrathin cross-linked polymers as gate dielectrics. Journal of the American Chemical Society, 127(29), 10388-10395. [3] Hung, C. C., Wu, H. C., Chiu, Y. C., Tung, S. H., & Chen, W. C. (2016). Crosslinkable high dielectric constant polymer dielectrics for low voltage organic field‐effect transistor memory devices. Journal of Polymer Science Part A: Polymer Chemistry, 54(19), 3224-3236. This research was supported by Nano·Material Technology Development Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT and Future Planning (2016M3A7B4905609) Figure 1

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 score0.001
Threshold uncertainty score0.002

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)0.0010.000

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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueECS Meeting AbstractsSame topicAnalytical Chemistry and SensorsFrench-language works237,207