Evidence map›Paper›PMID 40213002›Full record

ArticleSmall science2024

Electrolyte-Gated Transistor Array (20 × 20) with Low-Programming Interference Based on Coplanar Gate Structure for Unsupervised Learning.

Wenkui Zhang, Jun Li, Mengjiao Li, Yi Li, Hong Lian, Wenqing Gao, Benxiao Sun, Fei Wang, Lian Cheng, Hanqi Yu and 2 more

Abstract read
In one paragraph

Article in Small science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Battery-Inspired Electrochemical Synapses for Neuromorphic Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

12 authors.

Wenkui ZhangSchool of Microelectronics Shanghai University Shanghai 201800 China.
Jun LiSchool of Microelectronics Shanghai University Shanghai 201800 China.ORCID https://orcid.org/0000-0003-0124-1757
Mengjiao LiSchool of Microelectronics Shanghai University Shanghai 201800 China.
Yi LiSchool of Microelectronics Shanghai University Shanghai 201800 China.
Hong LianMOE Key Laboratory of Advanced Display and System Applications Ministry of Education Shanghai University Shanghai 200072 China.
Wenqing GaoSchool of Microelectronics Shanghai University Shanghai 201800 China.
Benxiao SunSchool of Microelectronics Shanghai University Shanghai 201800 China.
Fei WangSchool of Microelectronics Shanghai University Shanghai 201800 China.
Lian ChengSchool of Microelectronics Shanghai University Shanghai 201800 China.
Hanqi YuSchool of Microelectronics Shanghai University Shanghai 201800 China.
Lianghao ChenSchool of Microelectronics Shanghai University Shanghai 201800 China.
Jianhua ZhangSchool of Microelectronics Shanghai University Shanghai 201800 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compute-in-memory (CIM) is a pioneering approach using parallel data processing to eliminate traditional data transmission bottlenecks for faster, energy-efficient data handling. Crossbar arrays with two-terminal devices such as memristors and phase-change memory are commonly employed in CIM, but they encounter challenges such as leakage current and increased power usage. Three-terminal transistor arrays have potential solutions, yet large-scale electrolyte-gated transistors (EGTs) demonstrations are uncommon due to compatibility issues with existing photolithography processes. Herein, a 20 × 20 EGTs array is designed using indium-gallium-zinc-oxide as the semiconductor channel and polyacrylonitrile (PAN) doped with C

Indexed as

arrayselectrolyte‐gated transistorslow energy consumptionunsupervised learningwinner‐takes‐all neural network

Identifiers

PMID40213002
PMCPMC11935182

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.