eprintid: 10053366
rev_number: 18
eprint_status: archive
userid: 608
dir: disk0/10/05/33/66
datestamp: 2018-07-27 12:54:22
lastmod: 2021-10-24 23:29:17
status_changed: 2018-07-27 12:54:22
type: article
metadata_visibility: show
creators_name: Chen, MLN
creators_name: Jiang, LJ
creators_name: Sha, WEI
title: Orbital Angular Momentum Generation and Detection by Geometric-Phase Based Metasurfaces
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
keywords: metasurfaces; geometric phase; orbital angular momentum (OAM)
note: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/).
abstract: We present a comprehensive review on the geometric-phase based metasurfaces for orbital angular momentum (OAM) generation and detection. These metasurfaces manipulate the electromagnetic (EM) wave by introducing abrupt phase change, which is strongly dependent on the polarization state of incident EM wave and can be interpreted by geometric phase. Hence, the conventional bulk devices that based on the accumulated phase change along the optical path can be avoided.
date: 2018-03
date_type: published
publisher: MDPI
official_url: https://doi.org/10.3390/app8030362
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
article_type_text: Review
verified: verified_manual
elements_id: 1569132
doi: 10.3390/app8030362
lyricists_name: Sha, Wei
lyricists_id: WSHAX37
actors_name: Waragoda Vitharana, Nimal
actors_id: NWARR44
actors_role: owner
full_text_status: public
publication: Applied Sciences
volume: 8
number: 3
article_number: 362
pages: 18
issn: 2076-3417
citation:        Chen, MLN;    Jiang, LJ;    Sha, WEI;      (2018)    Orbital Angular Momentum Generation and Detection by Geometric-Phase Based Metasurfaces.                   Applied Sciences , 8  (3)    , Article 362.  10.3390/app8030362 <https://doi.org/10.3390/app8030362>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10053366/1/applsci-08-00362-v3.pdf