Evidence map›Paper›PMID 36236177›Full record

ArticlePolymers2022

Water-Processed Organic Solar Cell with Efficiency Exceeding 11.

Chen Xie, Songqiang Liang, Guangye Zhang, Shunpu Li

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

3 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Green-Processed Non-Fullerene Organic Solar Cells Based on Y-Series Acceptors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
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

4 authors at 1 institution in 1 country.

Chen XieCollege of New Materials and New Energies, Shenzhen Technology University, Shenzhen 518118, China.
Songqiang LiangCollege of New Materials and New Energies, Shenzhen Technology University, Shenzhen 518118, China.
Guangye ZhangCollege of New Materials and New Energies, Shenzhen Technology University, Shenzhen 518118, China.ORCID 0000-0002-2750-7720
Shunpu LiCollege of New Materials and New Energies, Shenzhen Technology University, Shenzhen 518118, China.
Shenzhen Technology University · CN

Funding

Education Department of Guangdong Province 2021KCXTD045Guangdong Basic and Applied Basic Research Foundation 2019A1515011673National Natural Science Foundation of China 62104158Natural Science Foundation of Top Talent of SZTU GDRC202113
6 · The paper itself

Abstract

Water processing is an ideal strategy for the ecofriendly fabrication of organic photovoltaics (OPVs) and exhibits a strong market-driven demand. Here, we report a state-of-the-art active material, namely PM6:BTP-eC9, for the synthesis of water-borne nanoparticle (NP) dispersion towards ecofriendly OPV fabrication. The surfactant-stripping technique, combined with a poloxamer, facilitates purification and eliminates excess surfactant in water-dispersed organic semiconducting NPs. The introduction of 1,8-diiodooctane (DIO) for the synthesis of surfactant-stripped NP (ssNP) further promotes a percolated microstructure of the polymer and NFA in each ssNP, yielding water-processed OPVs with a record efficiency of over 11%. The use of an additive during water-borne ssNP synthesis is a promising strategy for morphology optimization in NP OPVs. It is believed that the findings in this work will engender more research interest and effort relating to water-processing in preparation of the industrial production of OPVs.

Indexed as

high efficiencyorganic solar cellssolvent additivesurfactant−stripped nanoparticle

Identifiers

PMID36236177
PMCPMC9573733
OpenAlexW4303969010

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.