Design of a dynamic multi-topological charge graphene orbital angular momentum metalens

Cao, Guiyuan; Lin, Han; Jia, Baohua; Yuan, Xiaocong; Somekh, Michael; Wei, Shibiao

Abstract

Traditional OAM generation devices are bulky and can generally only create OAM with one specific topological charge. Although metasurface-based devices have overcome the volume limitations, no tunable metasurface-based OAM generators have been demonstrated to date. Here, a dynamically tunable multi-topological charge OAM generator based on an ultrathin integrable graphene metalens is demonstrated by simulation using the detour phase technique and spatial multiplexing. Different topological charges can be designed on different focal planes. Stretching the OAM graphene metalens allows the focal plane and the topological values to be changed dynamically. This design method paves an innovative route toward miniaturization and integrating OAM beam-type photonic devices for practical applications.

Citation

Cao, G., Lin, H., Jia, B., Yuan, X., Somekh, M., & Wei, S. (2023). Design of a dynamic multi-topological charge graphene orbital angular momentum metalens. Optics Express, 31(2), 2102-2111. https://doi.org/10.1364/OE.480946

• Journal Article Type: Article
• Acceptance Date: Dec 23, 2022
• Online Publication Date: Jan 6, 2023
• Publication Date: Jan 16, 2023
• Deposit Date: Apr 3, 2023
• Publicly Available Date: Apr 4, 2023
• Journal: Optics Express
• Electronic ISSN: 1094-4087
• Publisher: Optical Society of America
• Peer Reviewed: Peer Reviewed
• Volume: 31
• Issue: 2
• Pages: 2102-2111
• DOI: https://doi.org/10.1364/OE.480946
• Keywords: Atomic and Molecular Physics, and Optics
• Public URL: https://nottingham-repository.worktribe.com/output/16217162
• Publisher URL: https://opg.optica.org/oe/fulltext.cfm?uri=oe-31-2-2102&id=524840
• Additional Information: Governed by the Optica Publishing Group Open Access Publishing Agreement signed by the author and any applicable copyright laws. Authors and readers may use, reuse, and build upon the article, or use it for text or data mining without asking prior permission from the publisher or the Author(s), as long as the purpose is non-commercial and appropriate attribution is maintained.