Evidence map›Paper›PMID 39634456›Full record

ArticleNanophotonics (Berlin, Germany)2022

High sensitivity ultraviolet graphene-metamaterial integrated electro-optic modulator enhanced by superlubricity.

Yanli Xu, Chuan Zhang, Weimin Li, Rong Li, Jiangtao Liu, Ze Liu, Zhenhua Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanophotonics (Berlin, Germany), 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. Review
  2. Article
  3. Review
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.

Yanli XuCollege of Mechanical and Electrical Engineering, Guizhou Minzu University, Guiyang 550025, China.
Chuan ZhangThe LEADS of Southeast University, The National Mobile Communications Research Laboratory of Southeast University, Nanjing, 211189, China.
Weimin LiCollege of Mechanical and Electrical Engineering, Guizhou Minzu University, Guiyang 550025, China.
Rong LiCollege of Mechanical and Electrical Engineering, Guizhou Minzu University, Guiyang 550025, China.
Jiangtao LiuCollege of Mechanical and Electrical Engineering, Guizhou Minzu University, Guiyang 550025, China.
Ze LiuDepartment of Engineering Mechanics, School of Civil Engineering, Wuhan University, 430072, Wuhan, China.
Zhenhua WuKey Laboratory of Microelectronic Devices and Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, 100049, China.ORCID https://orcid.org/0000-0003-4552-883X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultraviolet (UV) electro-optic modulation system based on graphene-plasmonic metamaterials nanomechanical system (NEMS) with superlubricity is investigated. Due to the strong optical absorption intensity of graphene in the UV region and the combination of metamaterial structure based on surface plasmons, the modulation depth of the UV NEMS electro-optic modulator approaches as high as 8.5 times compared to the counterpart modulator in visible light region. Meanwhile, the superlubricity significantly reduces the power consumption of the UV electro-optic modulation system due to its extremely low friction coefficient. It also significantly increases the response speed of the modulator, with response time down to nanoseconds. The modulation voltage can be equal to or less than 150 mV. The proposed electro-optic modulation system has a simple structure and high sensitivity, which is supposed to have important applications in UV optoelectronic devices and systems.

Indexed as

graphenenanomechanical systemplasmonic metamaterialssuperlubricityultraviolet

Identifiers

PMID39634456
PMCPMC11501641

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.