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 journalArticle

Abstract

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
JournalACS Nano
DOIs
Publication statusPublished - Jan 1 2019

Fingerprint

Imaging techniques
embossing
nanoparticles
Metal nanoparticles
Optical resolving power
polymers
Wavefronts
Evolutionary algorithms
Block copolymers
Scalability
Lenses
Nanostructures
Polymers
platforms
Diffraction
lenses
Nanoparticles
Wavelength
diffraction
wavelengths

Keywords

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

ASJC Scopus subject areas

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

Cite this

Lattice-Resonance Metalenses for Fully Reconfigurable Imaging. / Hu, Jingtian; Wang, Danqing; Bhowmik, Debanjan; Liu, Tingting; Deng, Shikai; Knudson, Michael P.; Ao, Xianyu; Odom, Teri W.

In: ACS Nano, 01.01.2019.

Research output: Contribution to journalArticle

Hu J, Wang D, Bhowmik D, Liu T, Deng S, Knudson MP et al. Lattice-Resonance Metalenses for Fully Reconfigurable Imaging. ACS Nano. 2019 Jan 1. https://doi.org/10.1021/acsnano.9b00651
Hu, Jingtian ; Wang, Danqing ; Bhowmik, Debanjan ; Liu, Tingting ; Deng, Shikai ; Knudson, Michael P. ; Ao, Xianyu ; Odom, Teri W. / Lattice-Resonance Metalenses for Fully Reconfigurable Imaging. In: ACS Nano. 2019.
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