Evidence map›Paper›PMID 36144114›Full record

ArticleMicromachines2022

General Strategy toward Laser Single-Step Generation of Multiscale Anti-Reflection Structures by Marangoni Effect.

Jingbo Yin, Huangping Yan, Gesang Dunzhu, Rui Wang, Shengzhu Cao, Rui Zhou, Yuanzhe Li

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Homogeneous Nanostructured VOMaterials (Basel, Switzerland) · 2023
    Article
  3. 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

7 authors.

Jingbo YinSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, China.ORCID 0000-0001-5773-8143
Huangping YanSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, China.ORCID 0000-0002-6133-136X
Gesang DunzhuScience and Technology on Vacuum Technology and Physics Laboratory, Lanzhou Institute of Physics, Lanzhou 730000, China.
Rui WangScience and Technology on Vacuum Technology and Physics Laboratory, Lanzhou Institute of Physics, Lanzhou 730000, China.
Shengzhu CaoScience and Technology on Vacuum Technology and Physics Laboratory, Lanzhou Institute of Physics, Lanzhou 730000, China.
Rui ZhouSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, China.ORCID 0000-0002-7111-756X
Yuanzhe LiSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, China.

Funding

the Equipment Pre-Research Key Laboratory Foundation 6142207200606the Guangdong Basic and Applied Basic Research Foundation 2020A1515010519
6 · The paper itself

Abstract

The anti-reflection of transparent material surfaces has attracted great attention due to its potential applications. In this paper, a single-step controllable method based on an infrared femtosecond laser is proposed for self-generation multiscale anti-reflection structures on glass. The multiscale composite structure with ridge structures and laser-induced nano-textures is generated by the Marangoni effect. By optimizing the laser parameters, multiscale structure with broadband anti-reflection enhancement is achieved. Meanwhile, the sample exhibits good anti-glare performance under strong light. The results show that the average reflectance of the laser-textured glass in the 300-800 nm band is reduced by 45.5% compared with the unprocessed glass. This work provides a simple and general strategy for fabricating anti-reflection structures and expands the potential applications of laser-textured glass in various optical components, display devices, and anti-glare glasses.

Indexed as

anti-glareanti-reflectionfemtosecond laserMarangoni effectmultiscale structure

Identifiers

PMID36144114
PMCPMC9503492

What OpenQuestion holds

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LicenceCC BY
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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.