Evidence map›Paper›PMID 38092801›Full record

ArticleScientific reports2023

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Seonuk Jeon, Heebum Kang, Hyunjeong Kwak, Kyungmi Noh, Seungkun Kim, Nayeon Kim, Hyun Wook Kim, Eunryeong Hong, Seyoung Kim, Jiyong Woo

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Seonuk JeonSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea.
Heebum KangSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea.
Hyunjeong KwakDepartment of Materials Science and Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea.
Kyungmi NohDepartment of Materials Science and Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea.
Seungkun KimDepartment of Materials Science and Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea.
Nayeon KimSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea.
Hyun Wook KimSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea.
Eunryeong HongSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea.
Seyoung KimDepartment of Materials Science and Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea.
Jiyong WooSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea. jiyong.woo@knu.ac.kr.

Funding

Ministry of Trade, Industry and Energy 20024796National Research Foundation of Korea RS-2023-00258227
6 · The paper itself

Abstract

The multilevel current states of synaptic devices in artificial neural networks enable next-generation computing to perform cognitive functions in an energy-efficient manner. Moreover, considering large-scale synaptic arrays, multiple states programmed in a low-current regime may be required to achieve low energy consumption, as demonstrated by simple numerical calculations. Thus, we propose a three-terminal Cu-ion-actuated CuO

Identifiers

PMID38092801
PMCPMC10719336

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.