Evidence map›Paper›PMID 42107069›Full record

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

Tunable Dynamics via Dual-Ion Modulation for Event-based Data Processing Using a Highly Uniform and Self-Rectifying Memristor Array.

Yoonho Cho, Dawon Kim, Jeonghong Lee, Dae-Won Kim, See-On Park, Jongmin Bae, Taehwan Jang, Shinhyun Choi

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. 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

8 authors.

Yoonho ChoSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID https://orcid.org/0009-0003-0540-4346
Dawon KimSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Jeonghong LeeGraduate School of Semiconductor Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Dae-Won KimGraduate School of Semiconductor Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
See-On ParkInformation and Electronics Research Institute, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Jongmin BaeSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Taehwan JangGraduate School of Semiconductor Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Shinhyun ChoiSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-5852-3360

Funding

BK21 FOUR (Connected AI Education & Research Program for Industry and Society Innovation) 4120200113769Institute of Information & communications Technology Planning & Evaluation (IITP) RS-2023-00216370Korea Research Institute of Chemical Technology KS2621-40National Research Foundation of Korea RS-2025-00555433National Research Foundation of Korea RS-2025-04162969
6 · The paper itself

Abstract

The demand for new computing architectures has greatly increased with the growth of data and the need for efficient data processing. Memristors are promising candidates for bio-inspired computing hardware owing to their analog behaviors, simple structure, and simple fabrication process. Among them, interface-type memristors have been extensively studied due to their high reliability and low power consumption. Despite these advantages, their spontaneous relaxation properties pose a challenge for bio-inspired computing applications. In this article, we demonstrate the tunable dynamics of an interface-type memristor through dual-ion modulation by incorporating Ag nanoclusters (ion diffusion retarders), and successfully implement a 32 × 32 one-resistor (1R) array (100% yield) with high temporal/spatial uniformity (σ/µ<3%) and high read rectifying ratio (>7 × 10

Indexed as

bio‐inspired computingdual‐ion modulationevent‐based moving object classificationion diffusion retardertunable dynamics

Identifiers

PMID42107069
PMCPMC13336106

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.