Evidence map›Paper›PMID 34692041›Full record

ArticleNational science review2020

Active digital spoof plasmonics.

Hao Chi Zhang, Tie Jun Cui, Yu Luo, Jingjing Zhang, Jie Xu, Pei Hang He, Le Peng Zhang

Abstract read
In one paragraph

Article in National science review, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Reconfigurable Parametric Amplifications of Spoof Surface Plasmons.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    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.

Hao Chi ZhangState Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China.
Tie Jun CuiState Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China.
Yu LuoThe Photonics Institute and Centre for Optoelectronics and Biophotonics, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Jingjing ZhangState Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China.
Jie XuState Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China.
Pei Hang HeState Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China.
Le Peng ZhangState Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital coding and digital modulation are the foundation of modern information science. The combination of digital technology with metamaterials provides a powerful scheme for spatial and temporal controls of electromagnetic waves. Such a technique, however, has thus far been limited to the control of free-space light. Its application to plasmonics to shape subwavelength fields still remains elusive. Here, we report the design and experimental realization of a tunable conformal plasmonic metasurface, which is capable of digitally coding and modulating designer surface plasmons at the deep-subwavelength scale. Based on dynamical switching between two discrete dispersion states in a controlled manner, we achieve digital modulations of both amplitude and phase of surface waves with nearly 100% modulation depth on a single device. Our study not only introduces a new approach for active dispersion engineering, but also constitutes an important step towards the realization of subwavelength integrated plasmonic circuits.

Indexed as

digital codingdigital metamaterialsdigital modulationplasmonics

Identifiers

PMID34692041
PMCPMC8288847

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.