Evidence map›Paper›PMID 37363628›Full record

ArticleACS photonics2023

Broadband Mechanically Tunable Metasurface Reflectivity Modulator in the Visible Spectrum.

Dorian Herle, Andrei Kiselev, Luis Guillermo Villanueva, Olivier J F Martin, Niels Quack

Abstract read
In one paragraph

Article in ACS photonics, 2023. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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  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.

Dorian HerleEcole Polytechnique Federale de Lausanne, Advanced Nano-Mechanical Systems Laboratory, EPFL STI IGM NEMS, Station 9, CH-1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-0202-2484
Andrei KiselevEcole Polytechnique Federale de Lausanne, Nanophotonics and Metrology Laboratory, EPFL STI IMT NAM, Station 11, CH-1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-1945-4075
Luis Guillermo VillanuevaEcole Polytechnique Federale de Lausanne, Advanced Nano-Mechanical Systems Laboratory, EPFL STI IGM NEMS, Station 9, CH-1015 Lausanne, Switzerland.
Olivier J F MartinEcole Polytechnique Federale de Lausanne, Nanophotonics and Metrology Laboratory, EPFL STI IMT NAM, Station 11, CH-1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-9574-3119
Niels QuackEcole Polytechnique Federale de Lausanne, Advanced Nano-Mechanical Systems Laboratory, EPFL STI IGM NEMS, Station 9, CH-1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0001-5189-0929

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reflectivity modulation is a critical feature for applications in telecommunications, 3D imaging and printing, advanced laser machining, or portable displays. Tunable metasurfaces have recently emerged as a promising implementation for miniaturized and high-performance tunable optical components. Commonly, metasurface response tuning is achieved by electro-optical effects. In this work, we demonstrate reflectivity modulation based on a nanostructured, mechanically tunable, metasurface, consisting of an amorphous silicon nanopillar array and a suspended amorphous silicon membrane with integrated electrostatic actuators. With a membrane displacement of only 150 nm, we demonstrate reflectivity modulation by Mie resonance enhanced absorption in the pillar array, leading to a reflectivity contrast ratio of 1:3 over the spectral range from 400-530 nm. With fast, low-power electrostatic actuation and a broadband response in the visible spectrum, this mechanically tunable metasurface reflectivity modulator could enable high frame rate dynamic reflective displays.

Identifiers

PMID37363628
PMCPMC10288533

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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.