Evidence map›Paper›PMID 42396951›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Kinetically Controlled Direct In Situ Photolithography of Perovskite Color-Conversion Layers.

Mingyu Hwang, Jaedong Jang, Jun-Seo Lee, Seongkyu Maeng, Sun Jae Park, Seungwoo Lee, Jae Jun Lee, Jong Hui Choi, Jeung Ku Kang, Hyunsu Cho and 1 more

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mingyu HwangGraduate School of Semiconductor Technology, School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Republic of Korea.
Jaedong JangDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Republic of Korea.
Jun-Seo LeeDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Republic of Korea.
Seongkyu MaengDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Republic of Korea.ORCID https://orcid.org/0009-0003-9957-1208
Sun Jae ParkDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Republic of Korea.
Seungwoo LeeGraduate School of Semiconductor Technology, School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Republic of Korea.
Jae Jun LeeDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Republic of Korea.
Jong Hui ChoiDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Republic of Korea.
Jeung Ku KangDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0003-3409-7544
Hyunsu ChoReality Display Research Section, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0003-0182-6376
Himchan ChoGraduate School of Semiconductor Technology, School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0001-6372-5787

Funding

Korea Institute for Advancement of Technology RS-2023-KI002692Korea Planning & Evaluation Institute of Industrial Technology(KEIT), Korea Government (MOTIE) RS-2024-00417392Ministry of Science and ICT, South Korea 2022M3H4A1A04096380Ministry of Science and ICT, South Korea RS-2024-00416583National Research Foundation of Korea RS-2022-NR068226National Research Foundation of Korea RS-2024-00416583
6 · The paper itself

Abstract

Metal halide perovskites (MHPs) are promising materials for color-conversion layers (CCLs) owing to their high absorption coefficients and narrow emission bandwidths. However, high-resolution patterning of micrometer-thick MHP CCLs remains challenging due to their susceptibility to optical and chemical damage during conventional patterning processes. Direct in situ photolithography has emerged as a potential solution by enabling high-thickness pattern formation without directly exposing MHP emitters to harsh conditions, yet its achievable spatial resolution has remained limited. Here, we report a kinetically controlled direct in situ photolithography (KC-ISP) approach for high-resolution MHP CCLs. By controlling thiol-ene crosslinking kinetics and incorporating a precursor-redistributing spin-washing step, KC-ISP enables high-resolution patterning with feature sizes down to ∼3 µm while providing facile color tunability through controlled precursor composition. In addition, in situ crystallized MHPs exhibit a pronounced increase in photoluminescence quantum yield upon air exposure, attributed to phase redistribution and surface defect passivation under ambient conditions. As a result, our MHP CCLs with ∼4 µm thickness achieve blue uptake values of ∼80% and ∼98% for green and red emitters, respectively, with corresponding color-conversion efficiencies of ∼45% and ∼30%, demonstrating the potential of KC-ISP for high-resolution micro-display applications.

Indexed as

color‐conversion layercrosslinking kineticdirect in situ photolithographyhigh‐resolution patterningmetal halide perovskites

Identifiers

PMID42396951
PMCPMC13495818

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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.