Two-dimensional materials for tunable and nonlinear metaoptics

Two-dimensional materials for tunable and nonlinear metaoptics

Advanced Photonics

10.1117/1.AP.6.3.034001

https://doi.org/10.1117/1.ap.6.3.034001

Zeng Wang, Kandammathe Valiyaveedu Sreekanth, Meng Zhao, Jinpeng Nong, Yincheng Liu, Jinghua Teng

20 May 2024

Wang, Z., Sreekanth, K. V., Zhao, M., Nong, J., Liu, Y., & Teng, J. (2024). Two-dimensional materials for tunable and nonlinear metaoptics. Advanced Photonics, 6(03). https://doi.org/10.1117/1.ap.6.3.034001

Metaoptics formed by ultrathin and planar building blocks enable compact and efficient optical devices that manipulate light at the nanoscale. The development of tunable metaoptics holds the promise of miniaturized and efficient optical systems that can dynamically adapt to changing conditions or requirements, propelling innovations in fields ranging from telecommunication and imaging to quantum computing and sensing. Two-dimensional (2D) materials show strong promise in enabling tunable metaoptics due to their exceptional electronic and optical properties from the quantum confinement within the atomically thin layers. In this review, we discuss the recent advancements and challenges of 2D material-based tunable metaoptics in both linear and nonlinear regimes and provide an outlook for prospects in this rapidly advancing area.

Attribution 4.0 International (CC BY 4.0)

This research / project is supported by the National Research Foundation Singapore - Competitive Research Programme
Grant Reference no. : NRFCRP26- 2021-0004

This research / project is supported by the Agency for Science, Technology, and Research (A*STAR) - Advanced Manufacturing and Engineering (AME) Individual Research Grants
Grant Reference no. : A2083c0058

This research / project is supported by the Agency for Science, Technology, and Research (A*STAR) - Advanced Manufacturing and Engineering (AME) Individual Research Grants
Grant Reference no. : A20E5c0084

This research / project is supported by the Agency for Science, Technology, and Research (A*STAR) - Manufacturing, Trade, and Connectivity Programmatic Fund
Grant Reference no. : M22L1b0110

This research / project is supported by the Agency for Science, Technology, and Research (A*STAR) - Health and Biomedical Sciences Industry Alignment Fund - Pre-Positioning
Grant Reference no. : H19H6a0025

© The Authors. Published by SPIE and CLP under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

https://oar.a-star.edu.sg/communities-collections/articles/21827

2577-5421

Institute of Microelectronics