ArticleLight, science & applications2024
Ultrahigh-resolution, high-fidelity quantum dot pixels patterned by dielectric electrophoretic deposition.
Article in Light, science & applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Optimizing the Development Process in Direct Photolithography for Efficient PeLEDs.Small methods · 2026Article
- Direct Photo-Patterning of Ultra-Bright and Stable Quantum Dot Light-Emitting Diodes Using Small-Molecule Crosslinkers.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Article
- Highly efficient and ultrahigh-resolution quantum dot light-emitting diodes via photoisomeric transformation.Light, science & applications · 2026Article
- Nanosecond response perovskite quantum dot light-emitting diodes with ultra-high resolution for active display application.Light, science & applications · 2025Article
- Rigid crosslinker-assisted nondestructive direct photolithograph for patterned QLED displays.Light, science & applications · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The high pixel resolution is emerging as one of the key parameters for the next-generation displays. Despite the development of various quantum dot (QD) patterning techniques, achieving ultrahigh-resolution (>10,000 pixels per inch (PPI)) and high-fidelity QD patterns is still a tough challenge that needs to be addressed urgently. Here, we propose a novel and effective approach of orthogonal electric field-induced template-assisted dielectric electrophoretic deposition to successfully achieve one of the highest pixel resolutions of 23090 (PPI) with a high fidelity of up to 99%. Meanwhile, the proposed strategy is compatible with the preparation of QD pixels based on perovskite CsPbBr
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.