Evidence map›Paper›PMID 41319294›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Al Nanoparticle-Decorated Metal Oxide Synaptic Transistors for Ultralow-Energy Neuromorphic Computing with Wide Dynamic Range.

Jun-Gyu Choi, Yoonseok Song, Seokhyeon Baek, Jingon Jang, Sungjun Park

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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. 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

5 authors.

Jun-Gyu ChoiDepartment of Electrical and Computer Engineering, Ajou University, Suwon, 16499, Republic of Korea.
Yoonseok SongDepartment of Intelligence Semiconductor Engineering, Ajou University, Suwon, 16499, Republic of Korea.
Seokhyeon BaekDepartment of Intelligence Semiconductor Engineering, Ajou University, Suwon, 16499, Republic of Korea.
Jingon JangSchool of Computer and Information Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
Sungjun ParkDepartment of Electrical and Computer Engineering, Ajou University, Suwon, 16499, Republic of Korea.ORCID https://orcid.org/0000-0001-9603-902X

Funding

Ministry of Education, South Korea 2020R1I1A1A01073059Ministry of Education, South Korea 2022R1I1A1A01073911Ministry of Education, South Korea RS-2023-00220077Ministry of Education, South Korea RS-2025-25436082Ministry of Science and ICT, South Korea IITP-2023-2020-0-01461Ministry of Science and ICT, South Korea RS-2023-00213089Ministry of Science and ICT, South Korea RS-2024-00403163Ministry of Science and ICT, South Korea RS-2024-00403639Ministry of Trade, Industry and Energy, South Korea P0017805Ministry of Trade, Industry and Energy, South Korea RS-2022-00154781
6 · The paper itself

Abstract

Achieving ultralow energy consumption alongside high synaptic fidelity remains a key challenge in the development of practical and scalable neuromorphic hardware systems. Electrolyte-gated memtransistors (EGMTs), which enable low-voltage analog switching via electric double layer modulation, suffer from a fundamental trade-off between dynamic range and energy consumption. Here, a nanoparticle-engineered EGMT is reported that mitigates this limitation by incorporating aluminum nanoparticles at the interface between a solution-processed indium gallium zinc oxide channel and a solid polymer electrolyte composed of polyethylene oxide doped with lithium hexafluoroarsenate. This design yields 50 discrete conductance states at a drain voltage of 1 mV, achieving a dynamic range exceeding 78 and a synaptic switching energy of 0.62 pJ spike

Indexed as

low‐energy consumptionneuromorphic devicesynaptic plasticity

Identifiers

PMID41319294
PMCPMC12904040

What OpenQuestion holds

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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.