期刊
ACS NANO
卷 13, 期 4, 页码 4613-4620出版社
AMER CHEMICAL SOC
DOI: 10.1021/acsnano.9b00651
关键词
reconfigurable metalenses; surface lattice resonance; evolutionary algorithm; multiplane imaging; flat optics
类别
资金
- DoD [N00014-17-1-3023]
- Air Force Research Laboratory [FA8650-15-2-5518]
- National Science Foundation [DMR-1608258]
- National Defense Science and Engineering Graduate (NDSEG) Fellowship
- NIH [1R01GM115763]
- Soft and Hybrid Nanotechnology Experimental (SHyNE) Resource (NSF) [ECCS-1542205]
- Materials Research Science and Engineering Center [DMR-1720139]
- State of Illinois
- Northwestern University
- MRSEC program (NSF) at the Materials Research Center [DMR-1720139]
- International Institute for Nanotechnology (IIN)
- Keck Foundation
- Office of the Provost
- Office for Research, and Northwestern University Information Technology
- National Science Foundation's National Nano technology Coordinated Infrastructure
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据