4.8 Article

Lattice-Resonance Metalenses for Fully Reconfigurable Imaging

Journal

ACS NANO
Volume 13, Issue 4, Pages 4613-4620

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsnano.9b00651

Keywords

reconfigurable metalenses; surface lattice resonance; evolutionary algorithm; multiplane imaging; flat optics

Funding

  1. DoD [N00014-17-1-3023]
  2. Air Force Research Laboratory [FA8650-15-2-5518]
  3. National Science Foundation [DMR-1608258]
  4. National Defense Science and Engineering Graduate (NDSEG) Fellowship
  5. NIH [1R01GM115763]
  6. Soft and Hybrid Nanotechnology Experimental (SHyNE) Resource (NSF) [ECCS-1542205]
  7. Materials Research Science and Engineering Center [DMR-1720139]
  8. State of Illinois
  9. Northwestern University
  10. MRSEC program (NSF) at the Materials Research Center [DMR-1720139]
  11. International Institute for Nanotechnology (IIN)
  12. Keck Foundation
  13. Office of the Provost
  14. Office for Research, and Northwestern University Information Technology
  15. National Science Foundation's National Nano technology Coordinated Infrastructure

Ask authors/readers for more resources

This paper describes a reconfigurable metalens system that can image at visible wavelengths based on arrays of coupled plasmonic nanoparticles. These lenses manipulated the wavefront and focused light by exciting surface lattice resonances that were tuned by patterned polymer blocks on single-particle sites. Predictive design of the dielectric nanoblocks was performed using an evolutionary algorithm to create a range of three-dimensional focusing responses. For scalability, we demonstrated a simple technique for erasing and writing the polymer nanostructures on the metal nanoparticle arrays in a single step using solvent-assisted nanoscale embossing. This reconfigurable materials platform enables tunable focusing with diffraction-limited resolution and offers prospects for highly adaptive, compact imaging.

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