Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Temporal soliton excitation in an ε-near-zero plasmonic metamaterial

Not Accessible

Your library or personal account may give you access

Abstract

The excitation of temporal solitons in a metamaterial formed by an array of ε-near-zero (ENZ) plasmonic channels loaded with a material possessing a cubic (χ(3)) nonlinearity are theoretically explored. The unique interplay between the peculiar dispersion properties of ENZ channels and their enhanced effective nonlinearity conspires to yield low threshold intensities for the formation of slow group velocity solitons.

© 2014 Optical Society of America

Full Article  |  PDF Article
More Like This
Dark optical solitons near the zero-dispersion wavelength

Yuri S. Kivshar
Opt. Lett. 16(12) 892-894 (1991)

Large spatial and angular spin splitting in a thin anisotropic ε-near-zero metamaterial

Wenguo Zhu, Jianhui Yu, Heyuan Guan, Huihui Lu, Jieyuan Tang, Yuanhan Luo, and Zhe Chen
Opt. Express 25(5) 5196-5205 (2017)

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

Figures (7)

You do not have subscription access to this journal. Figure files 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

Equations (4)

You do not have subscription access to this journal. Equations 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.