Optical properties of metasurfaces infiltrated with liquid crystals
Zhu, Alexander Y.
KAUST Grant NumberOSR-2016-CRG5-2995
Embargo End Date2021-02-10
Permanent link to this recordhttp://hdl.handle.net/10754/667357
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AbstractOptical metasurfaces allow the ability to precisely manipulate the wavefront of light, creating many interesting and exotic optical phenomena. However, they generally lack dynamic control over their optical properties and are limited to passive optical elements. In this work, we report the nontrivial infiltration of nanostructured metalenses with three respective nematic liquid crystals of different refractive index and birefringence. The optical properties of the metalens are evaluated after liquid-crystal infiltration to quantify its effect on the intended optical design. We observe a significant modification of the metalens focus after infiltration for each liquid crystal. These optical changes result from modification of local refractive index surrounding the metalens structure after infiltration. We report qualitative agreement of the optical experiments with finite-difference time-domain solver (FDTD) simulation results. By harnessing the tunability inherent in the orientation dependent refractive index of the infiltrated liquid crystal, the metalens system considered here has the potential to enable dynamic reconfigurability in metasurfaces.
CitationLininger, A., Zhu, A. Y., Park, J.-S., Palermo, G., Chatterjee, S., Boyd, J., … Strangi, G. (2020). Optical properties of metasurfaces infiltrated with liquid crystals. Proceedings of the National Academy of Sciences, 117(34), 20390–20396. doi:10.1073/pnas.2006336117
SponsorsWe acknowledge support from the Ohio Third Frontier Project “Research Cluster on Surfaces in Advanced Materials” at Case Western Reserve University. G.S. and A.L. acknowledge the NSF Grant 1904592, “Instrument Development: Multiplex Sensory Interfaces Between Photonic Nanostructures and Thin Film Ionic Liquids.” This research was supported by the King Abdullah University of Science and Technology Office of Sponsored Research (OSR) (Award OSR-2016-CRG5-2995). This work was performed in part at the Cornell NanoScale Science & Technology Facility, a member of the National Nanotechnology Coordinated Infrastructure (NNCI), which is supported by the NSF (Grant NNCI-1542081).This work was also performed in part at the Center for Nanoscale Systems (CNS), a member of the NNCI, which is supported under NSF Award 1541959. CNS is part of Harvard University.