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Enregistrement 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 sur OpenAlexaboutno aff
Dipon Kumar Ghosh, Christy Christy, Nirmal Anand, Md. Afjalur Rahman, Md Zunaid Baten, Sharif Sadaf

Notice bibliographique

RevueECS Meeting Abstracts · 2025
Typearticle
Langueen
DomaineEngineering
ThématiqueThin-Film Transistor Technologies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLight-emitting diodeZincOptoelectronicsMaterials scienceIndiumGalliumNano-Gallium nitrideThin-film transistorWide-bandgap semiconductorNanotechnologyMetallurgyLayer (electronics)Composite material

Résumé

récupéré en direct d'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

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,098
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,008
Tête enseignante GPT0,203
Écart entre enseignants0,195 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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