Evidence map›Paper›PMID 39770205›Full record

ReviewMicromachines2024

Recent Advancements in 2D Material-Based Memristor Technology Toward Neuromorphic Computing.

Sungmin Park, Muhammad Naqi, Namgyu Lee, Suyoung Park, Seongin Hong, Byeong Hyeon Lee

Abstract readReview
In one paragraph

Review in Micromachines, 2024. 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. Review
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.

Sungmin ParkDepartment of Physics, Gachon University, Seongnam 13120, Republic of Korea.ORCID 0009-0000-2129-9900
Muhammad NaqiDepartment of Electronic Engineering, University of Exeter, Exeter EX4 4QF, UK.ORCID 0000-0002-1549-4379
Namgyu LeeDepartment of Physics, Gachon University, Seongnam 13120, Republic of Korea.
Suyoung ParkDepartment of Physics, Gachon University, Seongnam 13120, Republic of Korea.
Seongin HongDepartment of Physics, Gachon University, Seongnam 13120, Republic of Korea.ORCID 0000-0002-7056-5467
Byeong Hyeon LeeDepartment of Microdevice Engineering, Korea University, Seoul 02841, Republic of Korea.

Funding

National Research Foundation of Korea No. RS-2023-0024456National Research Foundation of Korea RS-2024-00445819
6 · The paper itself

Abstract

Two-dimensional (2D) layered materials have recently gained significant attention and have been extensively studied for their potential applications in neuromorphic computing, where they are used to mimic the functions of the human brain. Their unique properties, including atomic-level thickness, exceptional mechanical stability, and tunable optical and electrical characteristics, make them highly versatile for a wide range of applications. In this review, we offer a comprehensive analysis of 2D material-based memristors. Furthermore, we examine the ability of 2D material-based memristors to successfully mimic the human brain by referencing their neuromorphic applications.

Indexed as

2D materialsartificial synapsein-memory computingmemristorneuromorphic

Identifiers

PMID39770205
PMCPMC11676942

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.