Evidence map›Paper›PMID 37630946›Full record

ArticleNanomaterials (Basel, Switzerland)2023

Artificial SiN

Tong Chen, Zhongyuan Ma, Hongsheng Hu, Yang Yang, Chengfeng Zhou, Furao Shen, Haitao Xu, Jun Xu, Ling Xu, Wei Li and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. 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. 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

11 authors.

Tong ChenSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.ORCID 0000-0003-1844-5457
Zhongyuan MaSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Hongsheng HuSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Yang YangSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Chengfeng ZhouSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Furao ShenSchool of Artificial Intelligence, Nanjing University, Nanjing 210093, China.
Haitao XuInstitute of Advanced Functional Materials and Devices, Shanxi University, Taiyuan 030031, China.
Jun XuSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Ling XuSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Wei LiSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Kunji ChenSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.

Funding

Research Fund for the Doctoral Program of the Higher Education of China 20130091110024Six Talent Peaks Project in Jiangsu Province DZXX-001the National Nature Science Foundation of China 61634003, 61571221)
6 · The paper itself

Abstract

Inspired by its highly efficient capability to deal with big data, the brain-like computational system has attracted a great amount of attention for its ability to outperform the von Neumann computation paradigm. As the core of the neuromorphic computing chip, an artificial synapse based on the memristor, with a high accuracy in processing images, is highly desired. We report, for the first time, that artificial synapse arrays with a high accuracy in image recognition can be obtained through the fabrication of a SiN

Indexed as

artificial synapsemultilevel resistive switchingSi dangling bondsilicon nitride

Identifiers

PMID37630946
PMCPMC10458972

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.