Evidence map›Paper›PMID 35208408›Full record

ArticleMicromachines2022

An Artificial Synapse Based on CsPbI3 Thin Film.

Jia-Ying Chen, Xin-Gui Tang, Qiu-Xiang Liu, Yan-Ping Jiang, Wen-Min Zhong, Fang Luo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Jia-Ying ChenGuangzhou Higher Education Mega Center, School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0002-0180-7485
Xin-Gui TangGuangzhou Higher Education Mega Center, School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0001-6429-2098
Qiu-Xiang LiuGuangzhou Higher Education Mega Center, School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Yan-Ping JiangGuangzhou Higher Education Mega Center, School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Wen-Min ZhongGuangzhou Higher Education Mega Center, School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0003-1503-0221
Fang LuoGuangzhou Higher Education Mega Center, School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou 510006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the data explosion in the intelligent era; the traditional von Neumann computing system is facing great challenges of storage and computing speed. Compared to the neural computing system, the traditional computing system has higher consumption and slower speed. However; the feature size of the chip is limited due to the end of Moore's Law. An artificial synapse based on halide perovskite CsPbI

Indexed as

artificial synapsehalide perovskitelong-term synaptic plasticityshort-term synaptic plasticity

Identifiers

PMID35208408
PMCPMC8874570

What OpenQuestion holds

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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.