Evidence map›Paper›PMID 42368471›Full record

ArticlePolymer science & technology (Washington, D.C.)2026

Cross-Conjugated Donor-Acceptor Polymers for High-Performance Organic Electrochemical Transistors.

Sijing Wang, Yidan Luan, Feng Ye, Riqing Ding, Jiaqiang Liao, Rongsheng Zhang, Shuo Chen, Lei Fang, Zi-Hao Guo

Abstract read
In one paragraph

Article in Polymer science & technology (Washington, D.C.), 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

9 authors.

Sijing WangCenter for Functional Organic Materials, Yongjiang Laboratory, Ningbo 315202, China.
Yidan LuanCenter for Functional Organic Materials, Yongjiang Laboratory, Ningbo 315202, China.
Feng YeCenter for Functional Organic Materials, Yongjiang Laboratory, Ningbo 315202, China.
Riqing DingCenter for Functional Organic Materials, Yongjiang Laboratory, Ningbo 315202, China.
Jiaqiang LiaoCenter for Functional Organic Materials, Yongjiang Laboratory, Ningbo 315202, China.
Rongsheng ZhangCenter for Functional Organic Materials, Yongjiang Laboratory, Ningbo 315202, China.
Shuo ChenCenter for Functional Organic Materials, Yongjiang Laboratory, Ningbo 315202, China.
Lei FangCenter for Functional Organic Materials, Yongjiang Laboratory, Ningbo 315202, China.ORCID https://orcid.org/0000-0003-4757-5664
Zi-Hao GuoCenter for Functional Organic Materials, Yongjiang Laboratory, Ningbo 315202, China.ORCID https://orcid.org/0000-0001-7948-2919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of high-performance polymer mixed ionic-electronic conductors (PMIECs) is critical for advancing organic electrochemical transistors (OECTs). While the field has been dominated by linearly conjugated polymers, cross-conjugated systems represent a vast and largely unexplored materials platform. Their distinctive optical, electronic, and tailorable redox characteristics endow them with considerable, yet underutilized, potential for the development of a range of OECT applications. In this work, we designed and synthesized two donor-acceptor (D-A) polymers, P-(TIDPg-TVT) and P-(TIDPg-CNTVT), based on a planar, hydrogen-bond-locked cross-conjugated acceptor (TIDP). P-(TIDPg-TVT) exhibited n-type-dominant ambipolar transport coupled with high operational stability, achieving an n-type μ

Indexed as

conjugated polymercross-conjugatedn-type polymer semiconductorsorganic electrochemical transistorspolymer mixed ionic–electronic conductors

Identifiers

PMID42368471
PMCPMC13295191

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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.