Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 15,
  • Issue 8,
  • pp. 082401-
  • (2017)

Multiple directional enhanced light source through a periodic metal grating structure

Not Accessible

Your library or personal account may give you access

Abstract

Higher emission rates and controllable emission direction are big concerns when it comes to finding a good single photon source. Recently, surface plasmons are introduced to this application, as they can manipulate and enhance the luminescence of single emitters. Here, we experimentally achieve a wide-area multiple directional enhanced light source through periodic metal grating structures. The surface-plasmon-coupled emission can have multiple precisely emission angles by just changing the period of the grating. Our result indicates that metal plasmonic grating can be used as a productive quantum device for unidirectional quantum light sources in quantum optics.

© 2017 Chinese Laser Press

PDF Article
More Like This
Enhancing extraction of light from metal composite structures for plasmonic emitters using light-coupling effect

Nan-Fu Chiu, Cheng-Du Yang, Yi-Lun Kao, and Kuan-Lin Lu
Opt. Express 23(8) 9602-9611 (2015)

Enhanced light transmission through cascaded metal films perforated with periodic hole arrays

Yong-Hong Ye and Jia-Yu Zhang
Opt. Lett. 30(12) 1521-1523 (2005)

Surface plasmon-coupled emission on plasmonic Bragg gratings

Mana Toma, Koji Toma, Pavel Adam, Jiří Homola, Wolfgang Knoll, and Jakub Dostálek
Opt. Express 20(13) 14042-14053 (2012)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.