Evidence map›Paper›PMID 42054282›Full record

ArticlePloS one2026

Tunable optical low-pass filtering based on chirped grating in arrays of graphene.

Yingquan Ao, Xiaoling Chen, Miaomiao Zhao, Hao Ni, Dong Zhong, Fangmei Liu, Xuewen Chen, Junjie Dong, Zhe Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2026. 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

9 authors.

Yingquan AoSchool of Electronic and Information Engineering, Hubei University of Science and Technology, Xianning, China.
Xiaoling ChenSchool of Electronic and Information Engineering, Hubei University of Science and Technology, Xianning, China.
Miaomiao ZhaoSchool of Electronic and Information Engineering, Hubei University of Science and Technology, Xianning, China.
Hao NiSchool of Electronic and Information Engineering, Hubei University of Science and Technology, Xianning, China.
Dong ZhongSchool of Electronic and Information Engineering, Hubei University of Science and Technology, Xianning, China.
Fangmei LiuSchool of Electronic and Information Engineering, Hubei University of Science and Technology, Xianning, China.
Xuewen ChenSchool of Clinical Medicine, Hubei University of Science and Technology, Xianning, China.
Junjie DongOptical Electromechanical and Intelligent Manufacturing Laboratory, Hubei University of Science and Technology, Xianning, China.
Zhe LiuOptical Electromechanical and Intelligent Manufacturing Laboratory, Hubei University of Science and Technology, Xianning, China.ORCID https://orcid.org/0000-0001-9589-2037

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We numerically investigate asymmetric light propagation in chirped gratings with embedded graphene arrays (CG-GA). The structure comprises alternating graphene sheets and dielectric layers, featuring a linearly chirped spatial period. Using the forward transmission matrix method (FTMM), we demonstrate that CG-GA support multimode resonance. The transmittance of resonant modes exhibits a significant wavelength-dependent decay, ultimately reaching a cutoff. This phenomenon indicates the structure functions as a tunable optical low-pass filter, whose transmittance, cutoff wavelength, and bandwidth can be modulated by varying the number of grating periods, the chirped period gradient, and the graphene chemical potential. This study may be utilized for spectral scanning and adaptive optics applications.

Indexed as

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Identifiers

PMID42054282
PMCPMC13127953

What OpenQuestion holds

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LicenceCC BY
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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.