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 language | English |
|---|---|
| Journal | ACS Nano |
| DOIs | |
| Publication status | Published - Jan 1 2019 |
Fingerprint
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 journal › Article
}
TY - JOUR
T1 - Lattice-Resonance Metalenses for Fully Reconfigurable Imaging
AU - Hu, Jingtian
AU - Wang, Danqing
AU - Bhowmik, Debanjan
AU - Liu, Tingting
AU - Deng, Shikai
AU - Knudson, Michael P.
AU - Ao, Xianyu
AU - Odom, Teri W
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
KW - evolutionary algorithm
KW - flat optics
KW - multiplane imaging
KW - reconfigurable metalenses
KW - surface lattice resonance
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U2 - 10.1021/acsnano.9b00651
DO - 10.1021/acsnano.9b00651
M3 - Article
C2 - 30896920
AN - SCOPUS:85063614274
JO - ACS Nano
JF - ACS Nano
SN - 1936-0851
ER -