Lattice-Resonance Metalenses for Fully Reconfigurable Imaging

Jingtian Hu, Danqing Wang, Debanjan Bhowmik, Tingting Liu, Shikai Deng, Michael P. Knudson, Xianyu Ao, Teri W. Odom

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)4613-4620
Number of pages8
JournalACS nano
Issue number4
Publication statusPublished - Apr 23 2019


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

ASJC Scopus subject areas

  • Materials Science(all)
  • Engineering(all)
  • Physics and Astronomy(all)

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