Evidence map›Paper›PMID 34037869›Full record

ReviewApplied microscopy2021

Advanced atomic force microscopy-based techniques for nanoscale characterization of switching devices for emerging neuromorphic applications.

Young-Min Kim, Jihye Lee, Deok-Jin Jeon, Si-Eun Oh, Jong-Souk Yeo

Open access · diamondAbstract readReview
In one paragraph

Review in Applied microscopy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

5 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

5 authors at 1 institution in 1 country.

Young-Min KimSchool of Integrated Technology, Yonsei University, 85, Songdogwahak-ro, Yeonsu-gu, Incheon, 21983, Republic of Korea.
Jihye LeeSchool of Integrated Technology, Yonsei University, 85, Songdogwahak-ro, Yeonsu-gu, Incheon, 21983, Republic of Korea.
Deok-Jin JeonSchool of Integrated Technology, Yonsei University, 85, Songdogwahak-ro, Yeonsu-gu, Incheon, 21983, Republic of Korea.
Si-Eun OhNano Science and Engineering, Integrated Science and Engineering Division, Yonsei University, 85, Songdogwahak-ro, Yeonsu-gu, Incheon, 21983, Republic of Korea.
Jong-Souk YeoSchool of Integrated Technology, Yonsei University, 85, Songdogwahak-ro, Yeonsu-gu, Incheon, 21983, Republic of Korea. jongsoukyeo@yonsei.ac.kr.ORCID http://orcid.org/0000-0001-6452-2404
Yonsei University · KR

Funding

Korea Evaluation Institute of Industrial Technology 10080625Ministry of Trade, Industry and Energy 10080625
6 · The paper itself

Abstract

Neuromorphic systems require integrated structures with high-density memory and selector devices to avoid interference and recognition errors between neighboring memory cells. To improve the performance of a selector device, it is important to understand the characteristics of the switching process. As changes by switching cycle occur at local nanoscale areas, a high-resolution analysis method is needed to investigate this phenomenon. Atomic force microscopy (AFM) is used to analyze the local changes because it offers nanoscale detection with high-resolution capabilities. This review introduces various types of AFM such as conductive AFM (C-AFM), electrostatic force microscopy (EFM), and Kelvin probe force microscopy (KPFM) to study switching behaviors.

Indexed as

Conductive atomic force microscopy (C-AFM)Conductive filaments (CFs)Electrostatic force microscopy (EFM)Kelvin probe force microscopy (KPFM)Selector

Identifiers

PMID34037869
PMCPMC8155164
OpenAlexW3165127213

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.