Evidence map›Paper›PMID 39917082›Full record

ArticleACS materials letters2025

Organic Solid-State Electrolyte Synaptic Transistors with Photoinduced Thiol-Ene Cross-linked Polymer Electrolytes for Deep Neural Networks.

Qun-Gao Chen, Wei-Ting Liao, Rou-Yi Li, Ignacio Sanjuán, Ning-Cian Hsiao, Chan-Tat Ng, Ting-Ting Chang, Antonio Guerrero, Chu-Chen Chueh, Wen-Ya Lee

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Article in ACS materials letters, 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. Battery-Inspired Electrochemical Synapses for Neuromorphic Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

10 authors.

Qun-Gao ChenDepartment of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei 106344, Taiwan.
Wei-Ting LiaoDepartment of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei 106344, Taiwan.
Rou-Yi LiDepartment of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei 106344, Taiwan.
Ignacio SanjuánInstitute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain.
Ning-Cian HsiaoDepartment of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei 106344, Taiwan.
Chan-Tat NgDepartment of Psychology, National Chengchi University, Taipei 11605, Taiwan.ORCID https://orcid.org/0000-0002-5241-0349
Ting-Ting ChangDepartment of Psychology, National Chengchi University, Taipei 11605, Taiwan.
Antonio GuerreroInstitute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain.
Chu-Chen ChuehDepartment of Chemical Engineering, National Taiwan University, Taipei 10617, Taiwan.ORCID https://orcid.org/0000-0003-1203-4227
Wen-Ya LeeDepartment of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei 106344, Taiwan.ORCID https://orcid.org/0000-0003-4562-4813

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we describe a solid-state polymer electrolyte (SPE)-based electrolyte-gated organic field-effect transistors (EGOFETs) consisting of a thiol-ene-assisted photo-cross-linked nitrile butadiene rubber (NBR) network embedded with lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) electrolyte. The photocurable SPE film can be patterned with different dimensions by photolithography and exhibits excellent electronic properties and crucial synaptic behavior. The photocurable NBR/LiTFSI EGOFET exhibits a high transconductance of 11.9 mS and a high on/off ratio of 10

Identifiers

PMID39917082
PMCPMC11795873

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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.