Evidence map›Paper›PMID 41768699›Full record

ArticleACS omega2026

Agar-Based Resistive Switching Memory for Neuromorphic Applications.

Han-Chiang Chen, I-Chieh Kao, Keng-Jui Lai, Chun-Yen Chen, Yu-Chi Chang

Abstract read
In one paragraph

Article in ACS omega, 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

5 authors.

Han-Chiang ChenDepartment of Engineering Science, National Cheng Kung University, Tainan City 701, Taiwan.
I-Chieh KaoDepartment of Engineering Science, National Cheng Kung University, Tainan City 701, Taiwan.
Keng-Jui LaiDepartment of Engineering Science, National Cheng Kung University, Tainan City 701, Taiwan.ORCID https://orcid.org/0009-0005-1635-8781
Chun-Yen ChenResearch Center for Circular Economy, National Cheng Kung University, Tainan 701, Taiwan.
Yu-Chi ChangDepartment of Engineering Science, National Cheng Kung University, Tainan City 701, Taiwan.ORCID https://orcid.org/0000-0003-2253-935X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the growing demand for sustainable and brain-inspired electronics, biobased resistive random-access memory (Bio-RRAM) has emerged as a promising alternative to conventional inorganic devices. However, most reported Bio-RRAMs still suffer from formation requirements, unstable ON/OFF ratios, or complex hybrid structures, limiting their practical use in neuromorphic computing. Here, we demonstrate a potassium-doped agar Bio-RRAM that overcomes these challenges through a simple, fully biodegradable design. The optimized device achieves forming-free bipolar switching, a stable ON/OFF ratio over 10

Identifiers

PMID41768699
PMCPMC12947142

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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.