Evidence map›Paper›PMID 41092357›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Indoor Organic Photovoltaics with Over 29% Efficiency and Great Stability Enabled by Giant Dimeric Acceptors with Hypsochromic Absorption and High Glass Transition Temperature.

Bosen Zou, Ho Ming Ng, Zhengkai Li, Yan Wang, Qingyuan Wang, Dezhang Chen, Zefan Yao, Hongxiang Li, Chunliang Li, Xianghao Zeng and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

20 authors.

Bosen ZouState Key Laboratory of Organic/Inorganic Composites, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.
Ho Ming NgDepartment of Chemistry and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, The Hong Kong University of Science and Technology, Hong Kong, 999077, China.
Zhengkai LiState Key Laboratory of Organic/Inorganic Composites, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.
Yan WangDepartment of Chemistry and Hong Kong Institute for Clean Energy, City University of Hong Kong, Hong Kong, 999077, China.
Qingyuan WangState Key Laboratory of Organic/Inorganic Composites, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.
Dezhang ChenDepartment of Chemistry, The Hong Kong University of Science and Technology, Hong Kong, 999077, China.
Zefan YaoCollege of Chemistry and Molecular Engineering, Peking University, Beijing, 100029, China.
Hongxiang LiCollege of Polymer Science and Engineering, State Key Laboratory of Polymer Materials Engineering, Sichuan University, Chengdu, 610106, China.
Chunliang LiDepartment of Chemistry and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, The Hong Kong University of Science and Technology, Hong Kong, 999077, China.
Xianghao ZengDepartment of Chemistry and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, The Hong Kong University of Science and Technology, Hong Kong, 999077, China.
Wei LiuDepartment of Chemistry and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, The Hong Kong University of Science and Technology, Hong Kong, 999077, China.
Jonathan E HalpertDepartment of Chemistry, The Hong Kong University of Science and Technology, Hong Kong, 999077, China.
Huawei HuState Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China.
Chunhui DuanState Key Laboratory of Luminescent Materials and DevicesGuangdong Basic Research Center of Excellence for Energy & Information Polymer Materials, South China University of Technology, Guangzhou, 510640, China.
Zonglong ZhuDepartment of Chemistry and Hong Kong Institute for Clean Energy, City University of Hong Kong, Hong Kong, 999077, China.
Tom WuDepartment of Applied Physics, The Hong Kong Polytechnic University, Hong Kong, 999077, China.
Wai-Yeung WongDepartment of Applied Biology and Chemical Technology and Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hong Kong, 999077, China.
Zhi-Guo ZhangState Key Laboratory of Organic/Inorganic Composites, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.
He YanDepartment of Chemistry and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, The Hong Kong University of Science and Technology, Hong Kong, 999077, China.
Han YuDepartment of Chemistry and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, The Hong Kong University of Science and Technology, Hong Kong, 999077, China.ORCID https://orcid.org/0000-0003-1936-5328

Funding

Fundamental Research Funds for the Central UniversitiesHong Kong Polytechnic University P0056175Hong Kong Research Grant Council 16303024Hong Kong Research Grant Council 16310824Hong Kong Research Grants Council C6023-19GHong Kong Research Grants Council R6021-18Hong Kong Research Grants Council RFS2021-6S05National Natural Science Foundation of China 22175014National Natural Science Foundation of China 22505209National Natural Science Foundation of China 52373168National Natural Science Foundation of China 52373176Strategic Priority Research Program of the Chinese Academy of Sciences XDB0520102Zhongshan Municipal Bureau of Science and Technology ZSST20SC02
6 · The paper itself

Abstract

Indoor organic photovoltaics (IOPVs) are an emerging LED light recycling technology with promising applications such as indoor off-grid ecosystem for the Internet of Things. However, efficient and stable IOPVs based on giant dimeric acceptors (GDAs) are rarely reported due to the dearth of GDAs with hypsochromic absorption (absorption onset < 850 nm) and good crystallinity. Herein, two hypsochromic GDAs are proposed with different fluorination degrees, namely DY4FO-V and DY6FO-V, and process a systematic study of hypsochromic acceptor materials from the small molecule to dimers and polymer. Interestingly, both hypsochromic GDAs possess better crystallinity, thus faster carrier transport and suppress recombination than small-molecule and polymer acceptor-based devices. With extra fluorination, PM6:DY6FO-V exhibits higher external quantum efficiency response and tighter packing compared with PM6:DY4FO-V. As a result, PM6:DY6FO-V delivers a champion efficiency over 29% under a LED illumination of 2000 lux (2600 k), positioning it the highest values for GDA-based IOPVs. Meanwhile, the high glass transition temperature of DY6FO-V endowed corresponding devices with great photostability and enhanced mechanical stability in flexible devices, demonstrating the feasibility of practical applications of the DY6FO-V-based IOPVs. This research underscores the huge potential of developing hypsochromic GDAs for highly efficient IOPVs with superior stability.

Indexed as

giant dimeric acceptorshigh glass transition temperaturehypsochromic absorptionindoor photovoltaicsoperation and mechanical stability

Identifiers

PMID41092357
PMCPMC12667510

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.