Evidence map›Paper›PMID 40856024›Full record

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

Solid Additives for Spontaneously Spreading-Processed Organic Photovoltaics.

Huitong Deng, Qianqing Jiang, Dianyi Liu

Abstract read
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Solid Additives for Spontaneously Spreading-Processed Organic Photovoltaics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

3 authors.

Huitong DengZhejiang University, Hangzhou, Zhejiang, 310027, China.
Qianqing JiangZhejiang Key Laboratory of 3D Micro/Nano Fabrication and Characterization, Research Center for Industries of the Future, Department of Electronic and Information Engineering, School of Engineering, Westlake University, Hangzhou, Zhejiang, 310030, China.
Dianyi LiuZhejiang University, Hangzhou, Zhejiang, 310027, China.ORCID https://orcid.org/0000-0001-7288-1108

Funding

National Key R&D Program of China 2022YFC3401800Research Center for Industries of the Future WU2022C037Research Center for Industries of the Future WU2023C016
6 · The paper itself

Abstract

The spontaneous spreading (SS) process offers a unique solution-processed platform for fabricating organic photovoltaics (OPVs) under open-air conditions. Yet its development is hindered by limited strategies to achieve uniform film thickness and homogeneous phase morphology. In this work, an SS process is developed using the green solvent o-xylene and mediated by solid additives to regulate interfacial tension, enabling the formation of uniform SS-films on the water surface. The aromatic solid additive phenanthrene (PAT) extended the drying time of the wet film, effectively suppressed excessive acceptor aggregation, enhanced molecular packing order, and optimized phase-separated morphology for the SS-film. The OPV device with SS-film as the active layer achieved a champion efficiency of 16.4%. To the best of current knowledge, this is the first attempt to introduce solid additives in SS-processed OPVs, offering a versatile strategy to simultaneously adjust film-forming kinetics and phase morphology. This study presents a simple approach to fabricating solution OPVs with solution processability and reproducibility.

Indexed as

green solventsorganic photovoltaicssolid additivesspontaneous spreading

Identifiers

PMID40856024
PMCPMC12631901

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.