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Record W4412511541 · doi:10.1149/ma2025-01351683mtgabs

Monolithic Integration of a-Indium Gallium Zinc Oxide TFT with Inorganic GaN Based Nano-LEDs Array

2025· article· en· W4412511541 on OpenAlexaboutno aff
Dipon Kumar Ghosh, Christy Christy, Nirmal Anand, Md. Afjalur Rahman, Md Zunaid Baten, Sharif Sadaf

Bibliographic record

VenueECS Meeting Abstracts · 2025
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsLight-emitting diodeZincOptoelectronicsMaterials scienceIndiumGalliumNano-Gallium nitrideThin-film transistorWide-bandgap semiconductorNanotechnologyMetallurgyLayer (electronics)Composite material

Abstract

fetched live from OpenAlex

The demand for advanced self-emissive high-resolution displays, such as augmented and virtual reality (AR/VR) devices has increased over the past few years. To meet this demand, each pixel should be in micron size (<3 µm) and needs to be controlled individually to gain higher brightness, contrast, and energy efficiency. Inorganic GaN-based micro light-emitting diode (µ-LED) is considered the most emerged display technology for its higher brightness, efficiency, lifetime, and lower power consumption. Individual pixel units can be controlled by a switching unit consisting of a metal-oxide-semiconductor field-effect transistor (MOSFET) or thin film transistor (TFT). As display technology is moving towards a lightweight plastic-like substrate, a low-temperature back-end-of-line (BEOL) compatible fabrication process is required. Amorphous-Indium Gallium Zinc Oxide (a-IGZO) TFT has drawn the attention of the research community owing to its uniformity, higher mobility, lower subthreshold swing, stability, and low temperature fabrication process. Besides, it has a wider band gap energy (≈3.5 eV) with good optical transparency which is suitable for transparent displays. Integration technology like the mass transfer method is a popular and efficient choice for low pixel-per-inch (PPI) larger display devices. In this method, each µ-LED is transferred from its growth substrate to the target display substrate. However, it is a time-consuming process and inefficient for industrial-scale manufacturing of higher PPI devices like AR/VR. Monolithic integration is required for this purpose where TFTs are fabricated on top of the µ-LEDs directly [1, 2]. This technology has a higher yield/cost ratio compared to the mass transfer method. In this work, we have monolithically integrated a-IGZO TFT with both GaN-based planar µ-LEDs and an array of nano-sized LEDs. We have fabricated blue planar µ-LEDs and an array of nano-sized LEDs (array size 85 × 85) by patterning through photolithography and electron beam lithography (EBL) respectively using a top-down approach. The µ-LEDs are passivated and planarized using dielectric deposition. After completing the fabrication of the µ-LEDs, the bottom gate a-IGZO TFT is fabricated on top of the µ-LEDs where the source of the TFT is in direct contact with the p-GaN of the µ-LEDs. The metal gate, source, and drain electrodes, gate dielectric, and active-channel layer a-IGZO are deposited and annealed at optimum conditions. All the fabrication processes were under a lower thermal budget (<300 °C). The monolithic integrated planar µ-LED with TFT shows proper LED and TFT behavior individually. We have achieved enhancement mode TFT with mobility of ≈8 cm 2 /V-s, an on-off ratio of 10 6 , and a subthreshold swing of 180 mV/dec which is suitable for a higher refresh rate (120-240 Hz) display and minimal power consumption. Additionally, we successfully drove the µ-LEDs with the TFT, resulting in blue light emission. Around 8 nm blue shift is observed (from 440.50 nm to 448.76 nm) with increasing applied gate voltage from 4 V to 12 V which corresponds to the injection current of 22 mA/cm 2 to 911 mA/cm 2 . The integrated nano-sized LED array with TFT showed similar electrical characteristics to planar µ-LED. However, no optical output current is observed while driving the array of nanowires through the TFT. The total output current is divided among 7225 parallelly connected nanowires, which significantly reduces the current per LED and prevents illumination. To address this issue, further work with a decreased nanowires array is in progress. Acknowledgments: This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) through Alliance Grant Programs. References: [1] Yang, Junghoon, et al. "Active-matrix micro-light-emitting diode displays driven by monolithically integrated dual-gate oxide thin-film transistors." Journal of Materials Chemistry C 10.26 (2022): 9699-9706. [2] Durnan, Oliver, et al. "An active‐matrix microLED display based on monolithic integration with IGZO backplane." Journal of the Society for Information Display (2024). Figure 1

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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 score0.098
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.203
Teacher spread0.195 · 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".

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Citations0
Published2025
Admission routes1
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