Evidence map›Paper›PMID 40117348›Full record

ArticleScience advances2025

Purely organic room-temperature phosphorescence sensitizers for highly efficient hyperfluorescence OLEDs.

Jiajie Zeng, Shaoxin Song, Yan Fu, Xiaoluo Peng, Ben Zhong Tang, Zujin Zhao

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

6 authors.

Jiajie ZengState Key Laboratory of Luminescent Materials and Devices, Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates, South China University of Technology, Guangzhou 510640, China.ORCID 0009-0000-6470-7863
Shaoxin SongState Key Laboratory of Luminescent Materials and Devices, Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates, South China University of Technology, Guangzhou 510640, China.
Yan FuState Key Laboratory of Luminescent Materials and Devices, Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates, South China University of Technology, Guangzhou 510640, China.ORCID 0000-0002-6942-4616
Xiaoluo PengState Key Laboratory of Luminescent Materials and Devices, Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates, South China University of Technology, Guangzhou 510640, China.
Ben Zhong TangSchool of Science and Engineering, Shenzhen Institute of Aggregate Science and Technology, Chinese University of Hong Kong, Shenzhen 518172, Guangdong, China.ORCID 0000-0002-0293-964X
Zujin ZhaoState Key Laboratory of Luminescent Materials and Devices, Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates, South China University of Technology, Guangzhou 510640, China.ORCID 0000-0002-0618-6024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiresonance thermally activated delayed fluorescence (MR-TADF) emitters are promising candidates for organic light-emitting diodes (OLEDs) with high color quality. However, in most cases, noble metal-containing phosphors are required as sensitizers for MR-TADF emitters to improve their electroluminescence (EL) performances, which may lead to high cost and environmental pollution. Herein, an efficient purely organic room-temperature phosphorescence (RTP) material, 3,2-PIC-TXT, with fast phosphorescence radiation is developed. It not only exhibits impressive EL performances as an emitter with an outstanding external quantum efficiency (EQE) of 33.2%, higher than that of Ir(ppy)

Identifiers

PMID40117348
PMCPMC11927617

What OpenQuestion holds

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Registered trials

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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.