Evidence map›Paper›PMID 30935140›Full record

ArticleSensors (Basel, Switzerland)2019

Tuning Multiple Fano Resonances for On-Chip Sensors in a Plasmonic System.

Shilin Yu, Tonggang Zhao, Jianguo Yu, Dafa Pan

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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
4.0field-weighted citation impact, top 6% of its field
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, 51 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Shilin YuBeijing Key Labroratory of Space-ground interconnecton and convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China. yushilin@bupt.edu.cn.
Tonggang ZhaoBeijing Key Labroratory of Space-ground interconnecton and convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China. zhaotg@butp.edu.cn.
Jianguo YuBeijing Key Labroratory of Space-ground interconnecton and convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China. yujg@bupt.edu.cn.
Dafa PanBeijing Key Labroratory of Space-ground interconnecton and convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China. pandf035010@bupt.edu.cn.
Beijing University of Posts and Telecommunications · CN

Funding

National Natural Science Foundation of China 61835001Supported by BUPT Excellent Ph.D. Students Foundation CX2019122
6 · The paper itself

Abstract

This paper proposed a plasmonic resonator system, consisting of a metal-insulator-metal structure and two stubs, and a Fano resonance arose in its transmittance, which resulted from the coupling between the two stubs. On the basis of the proposed structure, a circle and a ring cavity are separately added above the stubs to create different coupled plasmonic structures, providing triple and quadruple Fano resonances, respectively. Additionally, by adjusting the geometric parameters of the system, multiple Fano Resonances obtained can be tuned. The proposed structure can be served as a high efficient refractive index sensor, yielding a sensitivity of 2000 nm/RIU and figure of merit (FOM) of 4.05 × 10 4 and performing better than most of the similar structures. It is believed that the proposed structure may support substantial applications for on-chip sensors, slow light and nonlinear devices in highly integrated photonic circuits.

Indexed as

multiple fano resonancesplasmonics waveguiderefractive index sensorslow lightSPPs

Identifiers

PMID30935140
PMCPMC6480261
OpenAlexW2935593718

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.