Evidence map›Paper›PMID 42453012›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Conductive Polymer Bridges Mediate High-Performance Flexible Perovskite-Organic Tandem Solar Cells.

Yuelong Zhou, Qian Ye, Bo Tian, Siqi Liu, Shuo Yao, Jiaxiang Lv, Cong Wang, Runying Dai, Dong Chen, Zengqi Huang and 2 more

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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

12 authors.

Yuelong ZhouKey Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education, Jiangxi Normal University, Nanchang, P. R. China.
Qian YeKey Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education, Jiangxi Normal University, Nanchang, P. R. China.
Bo TianKey Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education, Jiangxi Normal University, Nanchang, P. R. China.
Siqi LiuKey Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education, Jiangxi Normal University, Nanchang, P. R. China.
Shuo YaoKey Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education, Jiangxi Normal University, Nanchang, P. R. China.
Jiaxiang LvKey Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education, Jiangxi Normal University, Nanchang, P. R. China.
Cong WangFilm Energy Chemistry for Jiangxi Provincial Key Laboratory (FEC)/Institute of Polymers and Energy Chemistry (IPEC)/College of Chemistry, Nanchang University, Nanchang, P. R. China.
Runying DaiKey Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education, Jiangxi Normal University, Nanchang, P. R. China.
Dong ChenKey Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education, Jiangxi Normal University, Nanchang, P. R. China.ORCID https://orcid.org/0009-0001-0928-9141
Zengqi HuangKey Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education, Jiangxi Normal University, Nanchang, P. R. China.ORCID https://orcid.org/0000-0001-5435-1744
Xiaotian HuFilm Energy Chemistry for Jiangxi Provincial Key Laboratory (FEC)/Institute of Polymers and Energy Chemistry (IPEC)/College of Chemistry, Nanchang University, Nanchang, P. R. China.ORCID https://orcid.org/0000-0001-5483-8800
Yiwang ChenKey Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education, Jiangxi Normal University, Nanchang, P. R. China.ORCID https://orcid.org/0000-0003-4709-7623

Funding

"Double Thousand Plan" Science and Technology Innovation High-end Talent Project of Jiangxi Province jxsq2023101111Graduate Innovation Fund of Jiangxi Normal University YJS2024031National Natural Science Foundation of China 22461142139National Natural Science Foundation of China 52473261National Natural Science Foundation of China 52527804National Natural Science Foundation of China 52573277Natural Science Foundation of Jiangxi Province 20231ZDH04036Natural Science Foundation of Jiangxi Province 20232BAB214028Natural Science Foundation of Jiangxi Province 20242BAB23031Natural Science Foundation of Jiangxi Province 20242BAB24002Young Ellite Scientists Sponsorship Program by CAST YESS20230261
6 · The paper itself

Abstract

In flexible perovskite-organic tandem solar cells (TSCs), the numerous grain boundaries (GBs) in Br-rich perovskite films are critical in determining their efficiency and mechanical durability. Exacerbated carrier recombination, photon-induced lattice expansion, and phase segregation originating from GBs substantially reduce the photovoltaic performance and reliability. In this work, we developed a conductive polymer composite by incorporating an ionic liquid into polyurethane (PU), which passivates Pb- and FA-related defects and suppresses halide segregation while mitigating residual stress. Critically, it establishes efficient lateral conductive polymer bridges (CPB) across GBs. The CPB significantly increased carrier diffusion length and suppressed nonradiative recombination. As a result, the rigid wide-bandgap (WBG) perovskite solar cells (PSCs) achieved a champion efficiency of 20.85% along with outstanding operational stability (T

Indexed as

charge recombination suppressionconductive polymer bridgesflexible perovskite–organic tandem solar cellsinter‐grain carrier transportwide‐bandgap perovskites

Identifiers

PMID42453012
PMCPMC13496106

What OpenQuestion holds

Textmetadata
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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.