Evidence map›Paper›PMID 35366127›Full record

ReviewNanoscale research letters2022

Ultracompact Nanophotonics: Light Emission and Manipulation with Metasurfaces.

Yu-Heng Hong, Wen-Cheng Hsu, Wei-Cheng Tsai, Yao-Wei Huang, Shih-Chen Chen, Hao-Chung Kuo

Abstract readReview
In one paragraph

Review in Nanoscale research letters, 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. 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

6 authors.

Yu-Heng HongSemiconductor Research Center, Hon Hai Research Institute, Taipei, 11492, Taiwan.
Wen-Cheng HsuSemiconductor Research Center, Hon Hai Research Institute, Taipei, 11492, Taiwan.
Wei-Cheng TsaiDepartment of Photonics, National Yang Ming Chiao Tung University, Hsinchu, 30010, Taiwan.
Yao-Wei HuangDepartment of Photonics, National Yang Ming Chiao Tung University, Hsinchu, 30010, Taiwan. ywh@nycu.edu.tw.
Shih-Chen ChenSemiconductor Research Center, Hon Hai Research Institute, Taipei, 11492, Taiwan. gary.sc.chen@foxconn.com.
Hao-Chung KuoSemiconductor Research Center, Hon Hai Research Institute, Taipei, 11492, Taiwan. hckuo@faculty.nctu.edu.tw.

Funding

Ministry of Science and Technology in Taiwan 110-2112-M-A49-034-MY3 and 110-2124-M-A49-004
6 · The paper itself

Abstract

Internet of Things (IoT) technology is prosperous for the betterment of human well-being. With the expeditious needs of miniature functional devices and systems for adaptive optics and light manipulation at will, relevant sensing techniques are thus in the urgent stage of development. Extensive developments in ultrathin artificial structures, namely metasurfaces, are paving the way for the next-generation devices. A bunch of tunable and reconfigurable metasurfaces with diversified catalogs of mechanisms have been developed recently, enabling dynamic light modulation on demand. On the other hand, monolithic integration of metasurfaces and light-emitting sources form ultracompact meta-devices as well as exhibiting desired functionalities. Photon-matter interaction provides revolution in more compact meta-devices, manipulating light directly at the source. This study presents an outlook on this merging paradigm for ultracompact nanophotonics with metasurfaces, also known as metaphotonics. Recent advances in the field hold great promise for the novel photonic devices with light emission and manipulation in simplicity.

Indexed as

Depth perceptionLight-emitting metasurfacesMetasurfacesMonolithic integrationOn-chipReconfigurationStructured light projectionTunability

Identifiers

PMID35366127
PMCPMC8976740

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.