Digital design of multimaterial photonic particles
Author(s)
Tao, Guangming; Kaufman, Joshua J.; Shabahang, Soroush; Rezvani Naraghi, Roxana; Sukhov, Sergey V.; Dogariu, Aristide; Abouraddy, Ayman F.; Joannopoulos, John; Fink, Yoel; ... Show more Show less
DownloadFink_Digital design.pdf (2.909Mb)
PUBLISHER_POLICY
Publisher Policy
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Terms of use
Metadata
Show full item recordAbstract
Scattering of light from dielectric particles whose size is on the order of an optical wavelength underlies a plethora of visual phenomena in nature and is a foundation for optical coatings and paints. Tailoring the internal nanoscale geometry of such "photonic particles" allows tuning their optical scattering characteristics beyond those afforded by their constitutive materials - however, flexible yet scalable processing approaches to produce such particles are lacking. Here, we show that a thermally induced in-fiber fluid instability permits the "digital design" of multimaterial photonic particles: the precise allocation of high refractive-index contrast materials at independently addressable radial and azimuthal coordinates within its 3D architecture. Exploiting this unique capability in all-dielectric systems, we tune the scattering cross-section of equisized particles via radial structuring and induce polarization-sensitive scattering from spherical particles with broken internal rotational symmetry. The scalability of this fabrication strategy promises a generation of optical coatings in which sophisticated functionality is realized at the level of the individual particles.
Date issued
2016-06Department
Massachusetts Institute of Technology. Research Laboratory of ElectronicsJournal
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences (U.S.)
Citation
Tao, Guangming et al. “Digital Design of Multimaterial Photonic Particles.” Proceedings of the National Academy of Sciences 113, 25 (June 2016): 6839–6844 © 2016 National Academy of Sciences
Version: Final published version
ISSN
0027-8424
1091-6490