scholarly journals Design Principles for Photonic Crystals Based on Plasmonic Nanoparticle Superlattices*

2020 ◽  
pp. 1351-1369
Author(s):  
Lin Sun ◽  
Haixin Lin ◽  
Kevin L. Kohlstedt ◽  
George C. Schatz ◽  
Chad A. Mirkina
2020 ◽  
pp. 1351-1369
Author(s):  
Lin Sun ◽  
Haixin Lin ◽  
Kevin L. Kohlstedt ◽  
George C. Schatz ◽  
Chad A. Mirkina

2020 ◽  
pp. 1351-1369
Author(s):  
Lin Sun ◽  
Haixin Lin ◽  
Kevin L. Kohlstedt ◽  
George C. Schatz ◽  
Chad A. Mirkin

2018 ◽  
Vol 115 (28) ◽  
pp. 7242-7247 ◽  
Author(s):  
Lin Sun ◽  
Haixin Lin ◽  
Kevin L. Kohlstedt ◽  
George C. Schatz ◽  
Chad A. Mirkin

Photonic crystals have been widely studied due to their broad technological applications in lasers, sensors, optical telecommunications, and display devices. Typically, photonic crystals are periodic structures of touching dielectric materials with alternating high and low refractive indices, and to date, the variables of interest have focused primarily on crystal symmetry and the refractive indices of the constituent materials, primarily polymers and semiconductors. In contrast, finite difference time domain (FDTD) simulations suggest that plasmonic nanoparticle superlattices with spacer groups offer an alternative route to photonic crystals due to the controllable spacing of the nanoparticles and the high refractive index of the lattices, even far away from the plasmon frequency where losses are low. Herein, the stopband features of 13 Bravais lattices are characterized and compared, resulting in paradigm-shifting design principles for photonic crystals. Based on these design rules, a simple cubic structure with an ∼130-nm lattice parameter is predicted to have a broad photonic stopband, a property confirmed by synthesizing the structure via DNA programmable assembly and characterizing it by reflectance measurements. We show through simulation that a maximum reflectance of more than 0.99 can be achieved in these plasmonic photonic crystals by optimizing the nanoparticle composition and structural parameters.


Author(s):  
Lin Sun ◽  
Haixin Lin ◽  
George C. Shatz ◽  
Chad A. Mirkin

2016 ◽  
Vol 7 (22) ◽  
pp. 4732-4738 ◽  
Author(s):  
Michael B. Ross ◽  
Marc R. Bourgeois ◽  
Chad A. Mirkin ◽  
George C. Schatz

Author(s):  
Phillip Manley ◽  
Sven Burger ◽  
Frank Schmidt ◽  
Martina Schmid

2015 ◽  
Vol 112 (33) ◽  
pp. 10292-10297 ◽  
Author(s):  
Michael B. Ross ◽  
Jessie C. Ku ◽  
Martin G. Blaber ◽  
Chad A. Mirkin ◽  
George C. Schatz

Bottom-up assemblies of plasmonic nanoparticles exhibit unique optical effects such as tunable reflection, optical cavity modes, and tunable photonic resonances. Here, we compare detailed simulations with experiment to explore the effect of structural inhomogeneity on the optical response in DNA-gold nanoparticle superlattices. In particular, we explore the effect of background environment, nanoparticle polydispersity (>10%), and variation in nanoparticle placement (∼5%). At volume fractions less than 20% Au, the optical response is insensitive to particle size, defects, and inhomogeneity in the superlattice. At elevated volume fractions (20% and 25%), structures incorporating different sized nanoparticles (10-, 20-, and 40-nm diameter) each exhibit distinct far-field extinction and near-field properties. These optical properties are most pronounced in lattices with larger particles, which at fixed volume fraction have greater plasmonic coupling than those with smaller particles. Moreover, the incorporation of experimentally informed inhomogeneity leads to variation in far-field extinction and inconsistent electric-field intensities throughout the lattice, demonstrating that volume fraction is not sufficient to describe the optical properties of such structures. These data have important implications for understanding the role of particle and lattice inhomogeneity in determining the properties of plasmonic nanoparticle lattices with deliberately designed optical properties.


2020 ◽  
Vol 48 (2) ◽  
pp. 399-409
Author(s):  
Baizhen Gao ◽  
Rushant Sabnis ◽  
Tommaso Costantini ◽  
Robert Jinkerson ◽  
Qing Sun

Microbial communities drive diverse processes that impact nearly everything on this planet, from global biogeochemical cycles to human health. Harnessing the power of these microorganisms could provide solutions to many of the challenges that face society. However, naturally occurring microbial communities are not optimized for anthropogenic use. An emerging area of research is focusing on engineering synthetic microbial communities to carry out predefined functions. Microbial community engineers are applying design principles like top-down and bottom-up approaches to create synthetic microbial communities having a myriad of real-life applications in health care, disease prevention, and environmental remediation. Multiple genetic engineering tools and delivery approaches can be used to ‘knock-in' new gene functions into microbial communities. A systematic study of the microbial interactions, community assembling principles, and engineering tools are necessary for us to understand the microbial community and to better utilize them. Continued analysis and effort are required to further the current and potential applications of synthetic microbial communities.


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