Evidence map›Paper›PMID 42095516›Full record

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

Sustainable Synaptic Device with Two-Dimensional Ferroelectric Materials for Neuromorphic Computing.

Jaewook Yoo, Seokjin Oh, Minah Park, Jong Min Song, Hongseung Lee, Seohyeon Park, Sojin Jung, Seongbin Lim, Soohyun Lim, Dongsun Shin and 3 more

Abstract read
PubMed Full text at PMC Publisher
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

13 authors.

Jaewook YooDivision of Electronic Engineering, Jeonbuk National University, Jeonju, Republic of Korea.
Seokjin OhHB Inc., Jeonju, Republic of Korea.
Minah ParkDivision of Electronic Engineering, Jeonbuk National University, Jeonju, Republic of Korea.
Jong Min SongSchool of Advanced Fusion Studies and AI Semiconductor, University of Seoul, Seoul, Republic of Korea.
Hongseung LeeDivision of Electronic Engineering, Jeonbuk National University, Jeonju, Republic of Korea.
Seohyeon ParkDivision of Electronic Engineering, Jeonbuk National University, Jeonju, Republic of Korea.
Sojin JungDivision of Electronic Engineering, Jeonbuk National University, Jeonju, Republic of Korea.
Seongbin LimDivision of Electronic Engineering, Jeonbuk National University, Jeonju, Republic of Korea.
Soohyun LimDivision of Electronic Engineering, Jeonbuk National University, Jeonju, Republic of Korea.
Dongsun ShinDivision of Electronic Engineering, Jeonbuk National University, Jeonju, Republic of Korea.
Ji Won HeoSchool of Advanced Fusion Studies and AI Semiconductor, University of Seoul, Seoul, Republic of Korea.
TaeWan KimSchool of Advanced Fusion Studies and AI Semiconductor, University of Seoul, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-6313-0502
Hagyoul BaeDivision of Electronic Engineering, Jeonbuk National University, Jeonju, Republic of Korea.ORCID https://orcid.org/0000-0002-2462-4198

Funding

Ministry of Education (MOE) and Jeonbuk State, Republic of KoreaMinistry of Science and ICT RS-2024-00460372Ministry of Science and ICT RS-2025-23323228Ministry of Science and ICT RS-2025-24523326Ministry of Trade Industry & Energy (MOTIE, Korea)National Research Foundation of KoreaRegional Innovation System & Education (RISE) Program 2025-RISE-13-JBUTechnology Innovation Program RS-2025-25454815
6 · The paper itself

Abstract

To overcome the coming big-data era, significant efforts are needed to implement neuromorphic computing that mimics the functional and structural features of the human brain using electronic devices. Repeated updates mimicking biological synaptic plasticity degrade the endurance of synaptic devices during in situ training. This study demonstrates a two-dimensional (2D) ferroelectric α-In

Indexed as

2D ferroelectricsconvolution neural networks (CNN)current annealing (CA)sustainable synaptic devicesα‐In2Se3

Identifiers

PMID42095516
PMCPMC13335525

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.