Evidence map›Paper›PMID 36432392›Full record

ArticleNanomaterials (Basel, Switzerland)2022

All-Optical Nanosensor for Displacement Detection in Mechanical Applications.

Lorena Escandell, Carlos Álvarez-Rodríguez, Ángela Barreda, Ramón Zaera, Braulio García-Cámara

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. 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

5 authors.

Lorena EscandellGroup of Displays and Photonics Applications, Carlos III University of Madrid, Avda. de la Universidad, 30, Leganés, 28911 Madrid, Spain.ORCID 0000-0001-6283-4842
Carlos Álvarez-RodríguezGroup of Displays and Photonics Applications, Carlos III University of Madrid, Avda. de la Universidad, 30, Leganés, 28911 Madrid, Spain.
Ángela BarredaInstitute of Solid State Physics, Friedrich Schiller University Jena, Helmholtzweg 3, 07743 Jena, Germany.ORCID 0000-0003-1090-6108
Ramón ZaeraDepartment of Continuum Mechanics and Structural Analysis, Carlos III University of Madrid, Avda. de la Universidad, 30, Leganés, 28911 Madrid, Spain.
Braulio García-CámaraGroup of Displays and Photonics Applications, Carlos III University of Madrid, Avda. de la Universidad, 30, Leganés, 28911 Madrid, Spain.ORCID 0000-0002-1231-0570

Funding

Comunidad de Madrid by SINFOTON2-CM S2018/NMT-4326Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through the International Research Training Group (IRTG) 2675 "Meta-ACTIVE" project number 437527638European Fund for Regional Development PID2019-109072RB-C31/AEI/10.13039/501100011033 and S2018/NMT-4326Madrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement with UC3M in the line of Excellence of University Professors EPUC3M26Spanish Research Agency (AEI) PID2019-109072RB-C31/AEI/10.13039/501100011033V PRICIT (Regional Programme of Research and Technological Innovation) EPUC3M26
6 · The paper itself

Abstract

In this paper, we propose the design of an optical system based on two parallel suspended silicon nanowires that support a range of optical resonances that efficiently confine and scatter light in the infrared range as the base of an all-optical displacement sensor. The effects of the variation of the distance between the nanowires are analyzed. The simulation models are designed by COMSOL Multiphysics software, which is based on the finite element method. The diameter of the nanocylinders (

Indexed as

displacement sensorlight scattering resonancesnanowiresoptical sensor

Identifiers

PMID36432392
PMCPMC9696814

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.