Plasmonic Mode Engineering with Templated Self-Assembled Nanoclusters

Fan, Jonathan A.; Bao, Kui; Sun, Lijun; Bao, Jiming; Manoharan, Vinothan N.; Nordlander, Peter; Capasso, Federico

doi:10.1021/nl302650t

Cited by 111 publications

(120 citation statements)

References 36 publications

Supporting

Mentioning

120

Contrasting

Order By: Relevance

“…As x increased, the localized surface plasmon resonance (LSPR) peak experienced a gradual red shift from ∼890 nm to ∼1,020 nm. This type of red shift has been predicted and observed in plasmonic dimers, trimers, and longer chains and is generally attributed to a combination of capacitive near-field coupling between the neighboring nanorods and retardation effects that set in when the size of the chain becomes nonnegligible compared with the wavelength (31,(35)(36)(37)(38). The effect was particularly strong as x increased from 1 to 4, as the majority of nanorods forming the chain acquired new nearest neighbors, but then quickly saturated for longer chains.…”

Section: Modeling Nanorod Chains Comprising Identical (Monodisperse) mentioning

confidence: 69%

Accounting for inhomogeneous broadening in nano-optics by electromagnetic modeling based on Monte Carlo methods

Gudjonson

Kats

Liu

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

View full text Add to dashboard Cite

Many experimental systems consist of large ensembles of uncoupled or weakly interacting elements operating as a single whole; this is particularly the case for applications in nano-optics and plasmonics, including colloidal solutions, plasmonic or dielectric nanoparticles on a substrate, antenna arrays, and others. In such experiments, measurements of the optical spectra of ensembles will differ from measurements of the independent elements as a result of small variations from element to element (also known as polydispersity) even if these elements are designed to be identical. In particular, sharp spectral features arising from narrow-band resonances will tend to appear broader and can even be washed out completely. Here, we explore this effect of inhomogeneous broadening as it occurs in colloidal nanopolymers comprising selfassembled nanorod chains in solution. Using a technique combining finite-difference time-domain simulations and Monte Carlo sampling, we predict the inhomogeneously broadened optical spectra of these colloidal nanopolymers and observe significant qualitative differences compared with the unbroadened spectra. The approach combining an electromagnetic simulation technique with Monte Carlo sampling is widely applicable for quantifying the effects of inhomogeneous broadening in a variety of physical systems, including those with many degrees of freedom that are otherwise computationally intractable.photonics | FDTD | random sampling | stochastic

show abstract

Section: Modeling Nanorod Chains Comprising Identical (Monodisperse) mentioning

confidence: 69%

Accounting for inhomogeneous broadening in nano-optics by electromagnetic modeling based on Monte Carlo methods

Gudjonson

Kats

Liu

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

View full text Add to dashboard Cite

show abstract

“…For example, confining geometries beyond spheres are frequently leveraged in the laboratory, including cylinders and cylindrical wells (33,(110)(111)(112), rectilinear channels (33,110,113,114), and the space near planar walls (35,115,116). Another set of packing in confinement problems, for which the packing object is a flexible or semiflexible polymer rather than a particle, is related to the containment of genomic material in cells and virus capsids.…”

Section: Discussionmentioning

confidence: 99%

Clusters of polyhedra in spherical confinement

Teich

Anders

Klotsa

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Dense particle packing in a confining volume remains a rich, largely unexplored problem, despite applications in blood clotting, plasmonics, industrial packaging and transport, colloidal molecule design, and information storage. Here, we report densest found clusters of the Platonic solids in spherical confinement, for up to N = 60 constituent polyhedral particles. We examine the interplay between anisotropic particle shape and isotropic 3D confinement. Densest clusters exhibit a wide variety of symmetry point groups and form in up to three layers at higher N. For many N values, icosahedra and dodecahedra form clusters that resemble sphere clusters. These common structures are layers of optimal spherical codes in most cases, a surprising fact given the significant faceting of the icosahedron and dodecahedron. We also investigate cluster density as a function of N for each particle shape. We find that, in contrast to what happens in bulk, polyhedra often pack less densely than spheres. We also find especially dense clusters at so-called magic numbers of constituent particles. Our results showcase the structural diversity and experimental utility of families of solutions to the packing in confinement problem.clusters | confinement | packing | colloids | nanoparticles P henomena as diverse as crowding in the cell (1, 2), DNA packaging in cell nuclei and virus capsids (3, 4), the growth of cellular aggregates (5), biological pattern formation (6), blood clotting (7), efficient manufacturing and transport, the planning and design of cellular networks (8), and efficient food and pharmaceutical packaging and transport (9) are related to the optimization problem of packing objects of a specified shape as densely as possible within a confining geometry, or packing in confinement. Packing in confinement is also a laboratory technique used to produce particle aggregates with consistent structure. These aggregates may serve as building blocks (or "colloidal molecules") in hierarchical structures (10, 11), information storage units (12), or drug delivery capsules (13). Experiments concerning cluster formation via spherical droplet confinement (13-20) are of special interest here. Droplets are typically either oil-in-water or water-inoil emulsions, and particle aggregation is induced via the evaporation of the droplet solvent. Clusters may be hollow [in which case they are termed "colloidosomes" (13)] or filled, depending on the formation protocol, and may contain a few (15) to a few billion (14) particles. Clusters of several metallic nanoparticles are especially intriguing given their ability to support surface plasmon modes over a range of frequencies (21). The subwavelength scale of these clusters means that their optical response is highly dependent on their specific geometry (22). Consequently, control over their structure enables control over their optical properties, with implications for cloaking (23), chemical sensing (24), imaging (25), nonlinear optics (26), and the creation of so-called metafluids (27)(28)(29), a...

show abstract

“…Metatronic concepts have provided a useful theoretical framework connecting plasmonics, metamaterials and nanophotonics with conventional electronics [2][3][4][5] . These ideas have guided the efficient design of metasurfaces 6,7 and the modelling of a variety of composite nanostructures, including plasmonic NP clusters [8][9][10] , NP rings exhibiting strong optical magnetism 11 and microcavity lasers 12 . However, the direct application of these concepts to photonic circuits has so far been limited to modelling and tuning optical nanoantennas [13][14][15][16][17][18][19] , and to realizing a ladder network of two-dimensional (2D) nanoinductors and nanocapacitors in the form of a subwavelength grating at mid-infrared frequencies 4 .…”

mentioning

confidence: 99%

Modular assembly of optical nanocircuits

et al. 2014

View full text Add to dashboard Cite

A key element enabling the microelectronic technology advances of the past decades has been the conceptualization of complex circuits with versatile functionalities as being composed of the proper combination of basic 'lumped' circuit elements (for example, inductors and capacitors). In contrast, modern nanophotonic systems are still far from a similar level of sophistication, partially because of the lack of modularization of their response in terms of basic building blocks. Here we demonstrate the design, assembly and characterization of relatively complex photonic nanocircuits by accurately positioning a number of metallic and dielectric nanoparticles acting as modular lumped elements. The nanoparticle clusters produce the desired spectral response described by simple circuit rules and are shown to be dynamically reconfigurable by modifying the direction or polarization of impinging signals. Our work represents an important step towards extending the powerful modular design tools of electronic circuits into nanophotonic systems.

show abstract

Plasmonic Mode Engineering with Templated Self-Assembled Nanoclusters

Cited by 111 publications

References 36 publications

Accounting for inhomogeneous broadening in nano-optics by electromagnetic modeling based on Monte Carlo methods

Accounting for inhomogeneous broadening in nano-optics by electromagnetic modeling based on Monte Carlo methods

Clusters of polyhedra in spherical confinement

Modular assembly of optical nanocircuits

Contact Info

Product

Resources

About