Evidence map›Paper›PMID 36770567›Full record

ArticleNanomaterials (Basel, Switzerland)2023

Artificial HfO

Yang Yang, Xu Zhu, Zhongyuan Ma, Hongsheng Hu, Tong Chen, Wei Li, Jun Xu, Ling Xu, Kunji Chen

Abstract read
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 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. Article
  2. Article
  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

9 authors.

Yang YangSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Xu ZhuSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Zhongyuan MaSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Hongsheng HuSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Tong ChenSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.ORCID 0000-0003-1844-5457
Wei LiSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, 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.
Kunji ChenSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.ORCID 0000-0002-4990-9253

Funding

Six Talent Peaks Project in Jiangsu Province DZXX-001the National Nature Science Foundation of China Grant Nos. 61634003, 61571221
6 · The paper itself

Abstract

Artificial neural networks, as a game-changer to break up the bottleneck of classical von Neumann architectures, have attracted great interest recently. As a unit of artificial neural networks, memristive devices play a key role due to their similarity to biological synapses in structure, dynamics, and electrical behaviors. To achieve highly accurate neuromorphic computing, memristive devices with a controllable memory window and high uniformity are vitally important. Here, we first report that the controllable memory window of an HfO

Indexed as

artificial synapsebrain-inspired computingmemristor

Identifiers

PMID36770567
PMCPMC9920863

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.