Evidence map›Paper›PMID 42855479›Full record

ArticleNature communications2026

Magnetic Electroluminescent response as a predictive indicator of operational lifetime in phosphorescent blue OLEDs.

Jeoungmin Ji, Young Hun Jung, Eun-Jeong Jang, Byeongheon Song, Jooyeon Oh, Jae-Hyun Lee, Jang Hyuk Kwon, Seunghyup Yoo

Abstract read
In one paragraph

Article in Nature communications, 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

8 authors.

Jeoungmin JiSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Young Hun JungOrganic Optoelectronic Device Lab (OODL), Department of Information Display, Kyung Hee University, Seoul, Republic of Korea.
Eun-Jeong JangDepartment of Electronic Engineering, Hanbat National University, Daejeon, Republic of Korea.ORCID http://orcid.org/0009-0001-3742-0100
Byeongheon SongApplied Surface Technology Ascend (ASTA), Suwon, Republic of Korea.
Jooyeon OhApplied Surface Technology Ascend (ASTA), Suwon, Republic of Korea.
Jae-Hyun LeeDepartment of Creative Convergence Engineering, Hanbat National University, Daejeon, Republic of Korea.
Jang Hyuk KwonOrganic Optoelectronic Device Lab (OODL), Department of Information Display, Kyung Hee University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-1743-1486
Seunghyup YooSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea. syoo.ee@kaist.edu.ORCID http://orcid.org/0000-0003-1887-6118

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving operational lifetime remains a major challenge for blue organic light-emitting diodes (OLEDs) harvesting triplet excitons. Achieving substantial lifetime enhancement requires analytical techniques that elucidate degradation mechanisms. Because conventional lifetime analysis involves destructive aging tests, developing non-invasive methods that correlate strongly with device longevity is highly desirable. Here, we show that the operational lifetime of blue phosphorescent OLEDs quantitatively correlates with the electroluminescence (EL) response under magnetic fields. This behavior is explained by a magneto-EL response function that reflects degradation-sensitive spin-pair kinetics under magnetic fields. A strong linear correlation (confidence > 95%) is identified between the magneto-EL response strength (f

Identifiers

PMID42855479
PMCPMC13652816

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.