Evidence map›Paper›PMID 35159759›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Direct Detection of Inhomogeneity in CVD-Grown 2D TMD Materials via K-Means Clustering Raman Analysis.

Hang Xin, Jingyun Zhang, Cuihong Yang, Yunyun Chen

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 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. Review
  2. ACS nano · 2024
    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

4 authors.

Hang XinSchool of Physics & Optoelectronic Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Jingyun ZhangSchool of Physics & Optoelectronic Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Cuihong YangSchool of Physics & Optoelectronic Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Yunyun ChenSchool of Physics & Optoelectronic Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is known that complex growth environments often induce inhomogeneity in two-dimensional (2D) materials and significantly restrict their applications. In this paper, we proposed an efficient method to analyze the inhomogeneity of 2D materials by combination of Raman spectroscopy and unsupervised k-means clustering analysis. Taking advantage of k-means analysis, it can provide not only the characteristic Raman spectrum for each cluster but also the cluster spatial maps. It has been demonstrated that inhomogeneities and their spatial distributions are simultaneously revealed in all CVD-grown MoS

Indexed as

dopinginhomogeneityk-means cluster analysisRamanstrain

Identifiers

PMID35159759
PMCPMC8840665

What OpenQuestion holds

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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.