Evidence map›Paper›PMID 40878392›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2025

Reconfigurable Neuron and Synapse Operations in a Steep-Switching Nonvolatile Transistor.

Jongmin Noh, Yeong Kwon Kim, Seongkweon Kang, Sang-Min Lee, Byung Chul Jang, Sungjoo Lee

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Van Der Waals Ferroionic CuInPMaterials (Basel, Switzerland) · 2026
    Review
  2. Review
  3. 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

6 authors.

Jongmin NohSKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon, 16419, South Korea.
Yeong Kwon KimSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea.
Seongkweon KangDepartment of Semiconductor Convergence Engineering, Sungkyunkwan University, Suwon, 16419, South Korea.
Sang-Min LeeSKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon, 16419, South Korea.
Byung Chul JangSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea.
Sungjoo LeeSKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon, 16419, South Korea.ORCID 0000-0003-1284-3593

Funding

National Research Foundation of Korea 2022R1A2C3003068National Research Foundation of Korea RS-2023-00281048National Research Foundation of Korea RS-2024-00355248Samsung Electronics Co. Ltd. IO201215-08197-01
6 · The paper itself

Abstract

Neuromorphic systems that emulate the information transmission of biological neural networks face challenges in their integration owing to the disparate features of neuron- and synapse-mimicking devices, leading to complex and inefficient system architectures. Herein, the study proposes a steep-switching nonvolatile field-effect transistor leveraging a CuInP

Indexed as

NeuronsSynapsesTransistors, ElectronicNeural Networks, Computerferroelectric gating effectreconfigurable neuron‐synapsespiking neural networkspiking neuronsteep switching non‐volatile field‐effect transistor

Identifiers

PMID40878392
PMCPMC12590513

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.