Evidence map›Paper›PMID 32604852›Full record

ArticleSensors (Basel, Switzerland)2020

High-Sensitivity Goos-Hänchen Shifts Sensor Based on BlueP-TMDCs-Graphene Heterostructure.

Lei Han, Zhimin Hu, Jianxing Pan, Tianye Huang, Dapeng Luo

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Review
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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.

Lei HanSchool of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China.
Zhimin HuSchool of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China.
Jianxing PanSchool of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China.
Tianye HuangSchool of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China.ORCID 0000-0001-9754-9873
Dapeng LuoSchool of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China.ORCID 0000-0002-1538-2617

Funding

Fundamental Research Founds for Central University, China University of Geosciences(Wuhan) 1910491B06National Natural Science Foundation of China 61876210Natural Science Foundation of Hubei Province 2019CFB598Wuhan Municipal Science and Technology Bureau 2018010401011297
6 · The paper itself

Abstract

Surface plasmon resonance (SPR) with two-dimensional (2D) materials is proposed to enhance the sensitivity of sensors. A novel Goos-Hänchen (GH) shift sensing scheme based on blue phosphorene (BlueP)/transition metal dichalogenides (TMDCs) and graphene structure is proposed. The significantly enhanced GH shift is obtained by optimizing the layers of BlueP/TMDCs and graphene. The maximum GH shift of the hybrid structure of Ag-Indium tin oxide (ITO)-BlueP/WS

Indexed as

blue phosphoreneGoos–Hänchen shiftsgraphenesensitivitysurface plasmon resonancetransition metal dichalcogenides

Identifiers

PMID32604852
PMCPMC7348788

What OpenQuestion holds

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Registered trials

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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.